<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">EPE</journal-id><journal-title-group><journal-title>Energy and Power Engineering</journal-title></journal-title-group><issn pub-type="epub">1949-243X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/epe.2020.1211037</article-id><article-id pub-id-type="publisher-id">EPE-104048</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  H-Infinity Control of an Adaptive Hybrid Active Power Filter for Power Quality Compensation
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Luc</surname><given-names>Vivien Assiene Mouodo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean</surname><given-names>Gaston Tamba</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Olivier</surname><given-names>Sosso Mayi</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lawren</surname><given-names>Bibaya</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Higher Normal School of Technical Education, Douala University, Douala, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Laboratory of Modeling Materials and Methods of the National Higher Polytechnic School, Douala University, Douala, Cameroon</addr-line></aff><aff id="aff4"><addr-line>School of Electrical and Electronic, Engineering University, Beijing, China</addr-line></aff><aff id="aff2"><addr-line>Institute of Technology, Douala University, Douala, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>11</day><month>11</month><year>2020</year></pub-date><volume>12</volume><issue>11</issue><fpage>603</fpage><lpage>640</lpage><history><date date-type="received"><day>3,</day>	<month>September</month>	<year>2020</year></date><date date-type="rev-recd"><day>9,</day>	<month>November</month>	<year>2020</year>	</date><date date-type="accepted"><day>12,</day>	<month>November</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This article highlights an optimal robust control technique called H-infinity, which thanks to a particular algorithm offers several solutions in the experimental implementation of harmonic compensators of systems with API-siemens modules. This control and command technique is directly tested on a TLC adaptive hybrid filter topology that provides benefits, such as reduced switching losses when injecting currents in the network, limitation of resonance problems and above all low power consumption at the DC bus level, thus allowing us to obtain results for 105 V to be compared with existing models in the literature which require 600 V for the same performance. This article therefore simultaneously offers two essential contributions to the optimization of harmonic pollution control. A first contribution is essentially based on the H-infinite algorithm and its particularity in its implementation on our TLC hybrid model. The second is on the advantages offered by the TLC-HAPF hybrid topology. The results obtained with this algorithm give us THDs conforming to the IEEE 519-1996 and which are very meaningful compared to the results obtained with other robust and stochastic control algorithms taken under the same conditions.
 
</p></abstract><kwd-group><kwd>H-Infinity Algorithm Control</kwd><kwd> TCLC-HAPF</kwd><kwd> THD</kwd><kwd> Depollution</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Electrical energy is the most efficient and popular form of energy and the modern society is heavily dependent on the electric supply. The life cannot be imagined without the supply of electricity. At the same time, the quality of the electric power supplied is also very important for the efficient functioning of the end user equipment. The term power quality became most prominent in the power sector and both the electric power supply company and the end users are concerned about it [<xref ref-type="bibr" rid="scirp.104048-ref1">1</xref>]. The quality of power delivered to the consumers depends on the voltage and frequency ranges of the power. If there is any deviation in the voltage and frequency of the electric power delivered from that of the standard values, then the quality of power delivered is affected. Nowadays with the advancement in technology, there is a drastic improvement in the semi-conductor devices. With this development and advantages, the semi-conductor devices got a permanent place in the power sector helping to ease the control of overall system. Moreover, most of the loads are also semi-conductor based equipment. But the semi-conductor devices are non-linear in nature and draw non-linear current from the source. And also the semi-conductor devices are involved in power conversion, which is either AC to DC or from DC to AC. This power conversion contains a lot of switching operations which may introduce discontinuity in the current. Due to this discontinuity and non-linearity, harmonics are present which affect the quality of power delivered to the end user. In order to maintain the quality of power delivered, the harmonics should be filtered out. Thus, a device named Filter is used which serves this purpose. There are many filter topologies in the literature, like active, passive and hybrid. Installation of the current quality compensators is one of the solutions for the low power factor, harmonic current pollution and unbalanced problem. Different power quality compensators have been compared in historical order in the following: Shunt capacitor banks (CBs) were firstly applied in power systems in around 1900s for power-factor correction and feeder voltage control due to its advantages of low cost and flexibility of installation. However, CBs can easily get burnt if the current harmonics level is high. To compensate the current harmonics, the passive power filters (PPFs) were proposed in 1940s. Unfortunately, the PPFs have many disadvantages, such as low dynamic performance, resonance problem and lack of unbalanced compensation ability [<xref ref-type="bibr" rid="scirp.104048-ref2">2</xref>]. The thyristor controlled static var compensators (SVCs) were firstly proposed in 1960s [<xref ref-type="bibr" rid="scirp.104048-ref3">3</xref>]. And the SVCs are popularly for dynamic reactive power [<xref ref-type="bibr" rid="scirp.104048-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref7">7</xref>] and unbalanced power compensations [<xref ref-type="bibr" rid="scirp.104048-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref10">10</xref>]. However, the SVCs suffer from drawbacks, such as resonance problem, harmonic current injection and poor harmonic compensation ability. To overcome the drawbacks and improve the performances of SVCs simultaneously, the inverter based controlled active power filters (APFs) were proposed in the year of 1976 [<xref ref-type="bibr" rid="scirp.104048-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref12">12</xref>]. Unfortunately, APFs still cannot have large scale development in the power quality markets due to the high initial and operational costs. Afterwards, the LC-coupling hybrid active filters (HAPFs) were proposed in the year of 2003. And, HAPFs have lower rating of active inverter part than the APFs. Since the rating of active inverter part is proportional to the cost of compensators, the HAPFs are more cost-effective than the APFs [<xref ref-type="bibr" rid="scirp.104048-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.104048-ref18">18</xref>]. However, the HAPFs have a quite narrow compensation range, which limits its compensation ability. When the loading reactive power is outside its designed range, it loses its low-inverter rating advantages [<xref ref-type="bibr" rid="scirp.104048-ref19">19</xref>]. In the year of 2014, the topology of thyristor controlled LC coupling hybrid active power filter (TCLC-HAPF) is proposed in [<xref ref-type="bibr" rid="scirp.104048-ref20">20</xref>], in which this state-of-the-art TCLC-HAPF has the characteristics of a wider compensation range than HAPFs and lower dc-link voltage than APFs for power quality compensation. Until now, the complete studies of characteristics, design techniques and applications of the TCLC-HAPF are still lacking to enhance the characteristics of passive filter and also the system; the active filter should be controlled properly. There are different control techniques for this purpose. The main aim of any control technique is to make active filter inject a voltage in to the system that compensates the harmonics. To achieve this output voltage, the active filter is controlled such that it is equal to a pre-calculated reference value. In this paper the proposed theory is validated by simulating it in MATLAB SIMULINK environment. The proposed control strategy is simulated for both balance and unbalanced load conditions. In this project the use of H-Infinity to control hybrid adaptive power filters for the improvement of electric power quality is studied and analyzed.</p></sec><sec id="s2"><title>2. Research Motivation</title><sec id="s2_1"><title>2.1. Solutions to Power Quality Problems</title><p>The most effective solution to improve the power quality is the use of filters to reduce harmonics. The basic idea of using a filter is explained in <xref ref-type="fig" rid="fig1">Figure 1</xref>, where the filter injects a compensating current that compensates the harmonics in load current. There are different filter topologies in the literature such as- active, passive,</p><p>hybrid, TCLC-HAPF. The passive power filters are used to filter out a particular order harmonics and has the problem of parallel resonance. The other solution is the use of Active Power Filter (APF). There are different types of APF like series APF, shunt APF. The shunt APF is costly and is not used for large systems. The series APF works as a harmonic isolator and used to reduce the negative sequence voltage [<xref ref-type="bibr" rid="scirp.104048-ref2">2</xref>]. The combination of passive filter and APF known as Hybrid Filter has also been study but has a narrow compensation range. There is another filter topology which is the TCLC-HAPF which is study in this project.</p></sec><sec id="s2_2"><title>2.2. Objectives</title><p>The main objective of this project is to control the thyristor controlled LC coupling hybrid active power filter (TCLC-HAPF) such that the harmonics in the current waveform are reduced. The control algorithm has the following objectives:</p><p>➢ To control the voltage injected by TCLC-HAPF such that it compensates the reactive power and load current harmonics</p><p>➢ To improve the passive filter performance</p><p>➢ To make the whole compensating equipment to act as linear, balanced, resistive load on the system</p></sec><sec id="s2_3"><title>2.3. Filter Classification</title><p>The different filters present in the literature are classified into three basic types. They are Active Filters and Passive Filters and Hybrid filter. Each type has its own sub classification. <xref ref-type="fig" rid="fig2">Figure 2</xref> shows the detailed classification of the filters.</p></sec><sec id="s2_4"><title>2.4. Comparisons among Thyristor Controlled LC-Coupling Hybrid Active Power Filter (TCLC-HAPF) and Other Different Power Quality Filters</title><p>Installation of the current quality compensators is one of the solutions for different power quality problems such as the low power factor, harmonic current pollution and unbalanced problem. The historical review of different power</p><p>quality compensators are summarized in <xref ref-type="table" rid="table1">Table 1</xref> and compared in the following. To compensate the reactive power, current harmonics, the passive power filters (PPFs) were proposed in 1940s. Unfortunately, the PPFs have many disadvantages like poor dynamic performance, resonance problem, and fixed reactive power compensation [<xref ref-type="bibr" rid="scirp.104048-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref2">2</xref>]. The static var compensators (SVCs) were firstly proposed in 1960s. And, the SVCs are popularly used for dynamic reactive power compensation [<xref ref-type="bibr" rid="scirp.104048-ref3">3</xref>]. However, the SVCs still suffer drawbacks such as resonance problem, harmonic.</p><p>Current injection and poor harmonic compensation ability. To overcome those drawbacks of SVCs and provide better performances simultaneously, the active power filters (APFs) were proposed in the year of 1976 [<xref ref-type="bibr" rid="scirp.104048-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref6">6</xref>]. Unfortunately, APFs still cannot large scale development in the power quality markets due to the high initial and operational costs. Afterwards, the LC-coupling hybrid active filters (HAPFs) were proposed in the year of 2003 with low active inverter part rating [<xref ref-type="bibr" rid="scirp.104048-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref9">9</xref>]. Since the rating of the active inverter part is proportional to the cost of compensators, the HAPFs are more cost effective than the APFs. However, the HAPFs have a quite narrow compensation range, which limits its compensation ability. When the load reactive power is outside its designed range, it loses its low-inverter rating advantages. From 2014 onwards, the thyristor controlled LC coupling hybrid active power filters (TCLC-HAPFs) have been widely studied in [<xref ref-type="bibr" rid="scirp.104048-ref10">10</xref>] - [<xref ref-type="bibr" rid="scirp.104048-ref16">16</xref>], which have the desirable characteristics of a wider compensation range than HAPFs and lower dc-link voltage than APFs for power quality compensation. Based on above discussions and <xref ref-type="table" rid="table1">Table 1</xref>, the traditional power quality compensators, PPFs and SVCs have inherent problems like resonance problem, slow response, poor harmonic compensation ability, etc. The above mentioned inherent problems can be solved if the active inverter part has been added to the topologies such as APFs, HAPFs and TCLC-HAPFs. However, the cost of PPF and SVC are lower than that of the active inverter part, thus the reduction of the active inverter part rating can lead to a decrease in the total cost of APFs, HAPFs and TCLC-HAPFs. After serious compariation the conclution was drawn, the comparisons among the APF, HAPF and TCLC-HAPF have been provided in terms of V-I characteristic (compensation range and</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of different active current quality compensators [<xref ref-type="bibr" rid="scirp.104048-ref4">4</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >1940s</th><th align="center" valign="middle" >1960s</th><th align="center" valign="middle" >1976</th><th align="center" valign="middle" >2003</th><th align="center" valign="middle" >2014</th></tr></thead><tr><td align="center" valign="middle" >compensators</td><td align="center" valign="middle" >PPFs</td><td align="center" valign="middle" >SVCs</td><td align="center" valign="middle" >APFs</td><td align="center" valign="middle" >HAPFs</td><td align="center" valign="middle" >TCLC-HAPFs</td></tr><tr><td align="center" valign="middle" >Compensation range</td><td align="center" valign="middle" >Narrow</td><td align="center" valign="middle" >Wide</td><td align="center" valign="middle" >Wide</td><td align="center" valign="middle" >Narrow</td><td align="center" valign="middle" >Wide</td></tr><tr><td align="center" valign="middle" >Harmonics compensation</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Poor</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >Good</td></tr><tr><td align="center" valign="middle" >Cost</td><td align="center" valign="middle" >Lowest</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td></tr><tr><td align="center" valign="middle" >reliability</td><td align="center" valign="middle" >high</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td></tr><tr><td align="center" valign="middle" >Switching loss</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >high</td><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >Normal</td></tr><tr><td align="center" valign="middle" >Tracking performance</td><td align="center" valign="middle" >poor</td><td align="center" valign="middle" >Poor</td><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >Poor</td><td align="center" valign="middle" >Good</td></tr></tbody></table></table-wrap><p>require DC-link voltage) cost, reliability, power loss and tracking performance. Compared TCLC-HAPF with APF and HAPF, it has higher reliability and lower power loss than both APF and HAPF. Besides, the TCLC-HAPF can be more cost effective than the APF for medium/high voltage level applications (≥10 kV). In addition, the TCLC-HAPF has wider reactive current compensation range than the HAPF and lower DC-link voltage than the HAPF. Therefore, the TCLC-HAPF has a large potential to be further developed for medium/high voltage level applications.</p></sec></sec><sec id="s3"><title>3. The Circuit Configuration and Modeling of the Three-Phase TCLC-HAPF</title><p>The circuit topology of a three-phase three-wire TCLC-HAPF is provided in <xref ref-type="fig" rid="fig3">Figure 3</xref>. v<sub>sx</sub> and v<sub>invx</sub> are the source voltages, load voltage and inverter output voltage, respectively, where the subscript “x” denotes phase x = a, b, c; i<sub>sx</sub>, i<sub>Lx</sub> and i<sub>cx</sub> are source current, load current and compensating current, respectively. The TCLC part of the TCLC-HAPF consists of a coupling inductor L<sub>c</sub>, a parallel capacitive CPF and a thyristor controlled reactor (TCR) with an inductor LPF. The active inverter part is a two-level voltage source inverter (VSI) with a dc-link capacitor CDC. The active inverter part can be considered as the adjustable active impedance to improve the TCLC part fundamental and harmonic current compensation ability [<xref ref-type="bibr" rid="scirp.104048-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref22">22</xref>]. Therefore, the three-phase modeling is proposed in <xref ref-type="fig" rid="fig3">Figure 3</xref> for TCLC-HAPF compensation analysis.</p><p>The equivalent compensating circuit is shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p><p>The active inverter part can be considered as the adjustable active impedance to improve the TCLC part fundamental and harmonic current compensation ability [<xref ref-type="bibr" rid="scirp.104048-ref20">20</xref>] and [<xref ref-type="bibr" rid="scirp.104048-ref21">21</xref>]. Therefore, the three-phase modeling for TCLC-HAPF unbalanced compensation analysis is proposed in <xref ref-type="fig" rid="fig4">Figure 4</xref> &amp; <xref ref-type="fig" rid="fig5">Figure 5</xref>. At the fundamental frequency (<xref ref-type="fig" rid="fig4">Figure 4</xref>), the active impedance X<sub>ACTxf</sub> is used to help the TCLC part impedance X<sub>af</sub> to compensate fundamental reactive power and balance active power. At the harmonic frequency (<xref ref-type="fig" rid="fig5">Figure 5</xref>), the active impedance X<sub>ACTxn</sub> changes the equivalent TCLC-HAPF impedance to be zero, so that the load harmonic current will not pollute the source side. The fundamental and harmonic active impedance X<sub>ACTxf</sub> and X<sub>ACTxn</sub> are proportional to the inverter voltage. To keep active inverter working at low rating, the X<sub>ACTxf</sub> and X<sub>ACTxn</sub> need to be designed as small as possible.</p><sec id="s3_1"><title>3.1. Proposed TCLC-HAPF Parameter Design</title><p>In this section, a parameter design method is discussed and explained into three parts. In Part A, the relationship between the required TCLC-HAPF fundamental impedances (X<sub>af</sub> + X<sub>ACTxf</sub>) and the load powers is deduced based on power flow analysis. The parameter design of the required fundamental dc-link voltage V<sub>DCf</sub>, C<sub>PF</sub> and L<sub>PF</sub> is proposed under the fundamental frequency consideration. In Part B, the parameter design of the required harmonic dc-link voltage V<sub>DCh</sub> is proposed under harmonic frequency consideration. In Part C, the design of L<sub>c</sub> is given.</p></sec><sec id="s3_2"><title>3.2. Design of V<sub>dcf</sub>, C<sub>PF</sub> and L<sub>PF</sub> Based on Power Flow Analysis under Fundamental Frequency Consideration</title><p>Referring to <xref ref-type="fig" rid="fig4">Figure 4</xref>, the required TCLC-HAPF impedance (X<sub>xf</sub> + X<sub>ACTxf</sub>) can be calculated by applying the Ohm’s Law as:</p><p>j X x f + j X A C T x f = ( V → x f − V → n f ) / I → c x f (1)</p><p>where V<sub>xf</sub> and I<sub>cxf</sub> are the fundamental load voltage and compensating current phasors respectively, where x stands for phase a, b and c. V<sub>n</sub> is the fundamental common point voltage. By using the Kirchhoff’s circuit laws (KCL), the compensating current relationship can be expressed as:</p><p>I → c a f + I → c b f + I → c c f = V → a − V → n f j X a f + j X A C T a f + V → b − V → n f j X b f + j X A C T b f + V → c − V → n f j X c f + j X A C T c f = 0 (2)</p><p>Simplifying (2.2), the expression of V<sub>nf</sub> can be obtained as:</p><p>V → n f = ( X b f + X A C T b f ) ( X c f + X A C T c f ) X E Q f ⋅ V → a f + ( X c f + X A C T c f ) ( X a f + X A C T a f ) X E Q f ⋅ V → b f     + ( X a f + X A C T a f ) ( X b f + X A C T b f ) X E Q f ⋅ V → c f (3)</p><p>where</p><p>X E Q f = ( X a f + X A C T a f ) ( X b f + X A C T b f ) + ( X b f + X A C T b f ) ( X c f + X A C T c f )     + ( X c f + X A C T c f ) ( X a f + X A C T a f ) (4)</p><p>The I<sub>cxf</sub> can be expressed in terms of V<sub>fx</sub> (V<sub>x</sub> = V<sub>fx</sub> for V<sub>x</sub> is assumed to be pure sinusoidal without harmonic components [<xref ref-type="bibr" rid="scirp.104048-ref11">11</xref>] - [<xref ref-type="bibr" rid="scirp.104048-ref18">18</xref>] and the compensating active and reactive power P<sub>cx</sub> and Q<sub>cx</sub> as:</p><p>j X x f + j X A C T x f = ( V → x f − V → n f ) / I → c x f (5)</p><p>I → c x f = [ ( P c x + j Q c x ) / V → x ] * (6)</p><p>where the note “*” denotes the conjugate. For unbalanced compensation, the TCLC-HAPF can provide the same amount of Q<sub>cx</sub> as the loading required but with opposite directions and balance the three-phase source active power to their average values ( P L a + P L b + P L c ) / 3 simultaneously. Thus, the compensating P<sub>cx</sub> and Q<sub>cx</sub> can be expressed as:</p><p>Q c x = − Q L x     a n d     P c x = − ( P L x − P L a + P L b + P L c 3 ) (7)</p><p>Referring to <xref ref-type="fig" rid="fig2">Figure 2</xref>(a), the fundamental inverter voltage V<sub>invxf</sub> can be obtained as:</p><p>V i n v x f = X A C T x f ⋅ I c x f (8)</p><p>where X<sub>ACTxf</sub> and I<sub>cxf</sub> are the fundamental active impedance and compensating current, and I<sub>cxf</sub> is design to compensate load fundamental reactive current I L x f q ( I c x f = − I L x f q ) . The relationship between the V<sub>invxf</sub> and V<sub>DCxf</sub> can be expressed as:</p><p>V D C x f = 6 ⋅ V i n v x f (9)</p><p>In (9), the scale of 6 ( = 2 ⋅ 3 ) can be explained by the following two reasons:</p><p>1) To transfer the phase voltage V<sub>invxf</sub> to line-to-line voltage, the scale of 3is required,</p><p>2) To guarantee the sufficient V<sub>DCxf</sub>, the peak value of fundamental inverter voltage needs to be considered</p><p>V i n v x f ( p ) = 2 ⋅ V i n v x f (10)</p><p>Moreover, the final required V<sub>DCf</sub> is designed to be the maximum value among each phase. Therefore, the final required V<sub>DCf</sub> can be expressed as:</p><p>V D C f = max ( 6 V i n v a f , 6 V i n v b f , 6 V i n v c f ) (11)</p><p>The X<sub>ACTxf</sub> is directly proportional to the required V<sub>DCf</sub>. The low dc-link voltage is one of the major advantages of TCLC-HAPF. This can be achieved when the value of X<sub>ACTxf</sub> is designed to be zero (X<sub>ACTxf</sub> ≈ 0). In other words, the value of V<sub>DCf</sub> is minimized (V<sub>DCf</sub> ≈0). With such minimum V<sub>DCf</sub> design, the TCLC part is mainly used to compensate reactive power and balance the active power, while the active inverter part is mainly used to improve the harmonic compensation ability of TCLC part. The TCLC part is an L<sub>c</sub> (X<sub>Lc</sub>) in series with a paralleled combination of a L<sub>PF</sub> (X<sub>LPF</sub>) and a C<sub>PF</sub> (X<sub>CPF</sub>), in which the X<sub>xf</sub> can be deduced as:</p><p>[ X a f ( α a ) X b f ( α b ) X c f ( α c ) ] = [ π X L P F X C P F X C P F ( 2 π − 2 α a + sin 2 α a ) − π X L P F + X L c π X L P F X C P F X C P F ( 2 π − 2 α b + sin 2 α b ) − π X L P F + X L c π X L P F X C P F X C P F ( 2 π − 2 α c + sin 2 α c ) − π X L P F + X L c ] (12)</p><p>In (12), X<sub>Lc</sub>, X<sub>CPF</sub>, X<sub>LPF</sub> are the fundamental impedances of L<sub>c</sub>, C<sub>PF</sub> and L<sub>PF</sub>. α<sub>x</sub> is the firing angle of the thyristor. The TCLC part has two back-to-back connected thyristors T1x, T2x, and they are triggered alternately in every half cycle. When α<sub>x</sub> = 180˚ (thyristors are opened for the whole cycle), the TCLC part has the maximum capacitive impedance XCap(Max) (&lt;0). On the other hand, when the firing angle α<sub>x</sub> = 90˚ (one of thyristors is closed for whole cycle), the TCLC part has the minimum inductive impedance XInd(Min) (&gt;0). Therefore, XCap(Max) and XInd(Min) can be expressed as:</p><p>X c a p ( M a x ) = X L C − X C P F = w L c − 1 w C p F (13)</p><p>X i n d ( M i n ) = X L P F X C P F X C P F − X L P F + X L c = w L P F 1 − C P F W 2 L P F + W L c (14)</p><p>where ω (=2πf) is the angular frequency. To guarantee the TCLC part has inductive compensation range and capacitive compensation range, the basic conditions of XCap(Max) &lt; 0 and XInd(Min) &gt; 0 need to be satisfied. Thus, from (13) and (14), the following relationships can be obtained:</p><p>C P F &lt; 1 L c W 2 and L P F &lt; 1 C P F W 2 (15)</p></sec></sec><sec id="s4"><title>4. Control Strategy</title><p>The TCLC-HAPF should be controlled such that the voltage injected by it should compensate the harmonics present in the system and should help in improving the quality of power. To achieve the above purpose, the output voltage of the APF should be controlled. For this to happen, at first a reference voltage is generated which when injected by APF will serve the desired purpose. Then the actual output voltage of the series connected APF is controlled using a PI controller such that the actual output voltage generated is equal to the reference value. The compensation strategy to compensate the harmonics is designed based on “Dual Instantaneous Reactive Power Theory”. In general, the power company tries to generate electric power at sinusoidal and balanced voltage. To achieve this condition, the load current at the Point of Common Coupling (PCC) should be co-linear with the supply voltage. This condition is satisfied if the load is a linear, balanced and resistive. This condition is expressed in equation form as-</p><p>v = R e i (16)</p><p>where R<sub>e</sub> is the equivalent resistance Thus, the average power supplied by the source is given as-</p><p>P = R e I 2 (17)</p><p>In case of unbalanced loads, where harmonics exist, only the fundamental component of the current helps in supplying the active power to the load. So the current in the Equation (3.15) is only the fundamental component and is represented as I1.</p><p>The load power is the summation of the source power and the compensator power. But the power exchange by the compensator should be null. So the load power is equal to the source power.</p><sec id="s4_1"><title>4.1. Reference Vector Generation</title><p>To control the series connected APF the reference vector should be generated and compared with the actual voltage vector [<xref ref-type="bibr" rid="scirp.104048-ref1">1</xref>]. The reference voltage vector given by Equation (21) is generated by the following control block. The fundamental component calculation needs the grid voltage angle to calculate the value. The grid voltage angle necessary for this calculation is extracted by using a Phased Lock Loop (PLL) (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p><p>A Low pass filter (LPF) is used in the fundamental calculation block to filter out the harmonics and extract the fundamental component. A comparison is made between the actual and reference values of the output voltage of TCLC-HAPF. The error is passed through a PID controller. The gain values of the controller are tuned in such a way that the error is zero and the actual value matches almost with the reference value. If this condition is achieved perfectly then the TCLC-HAPF improves the quality of power generated to the load by filtering out the harmonics and thus improving the performance of the system.</p></sec><sec id="s4_2"><title>4.2. Presentation of H-∞ Command</title><p>The H-∞ command (still called advanced frequent control or multivariable robust command) is a new approach to the Frequency Automatic; it was initiated by Zames in the early 1980s and developed, in particular by Doyle, Glover, Khargonekar and Francis; it has in recent years become one of the flagship methods of “robust control” [<xref ref-type="bibr" rid="scirp.104048-ref23">23</xref>]; it is used for the rapid development of robust</p><p>control laws of stationary and multivariable linear systems [<xref ref-type="bibr" rid="scirp.104048-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref24">24</xref>] the principle of the H-∞ Command provides a solution (if it exists) to the control problem with a number of constraints [<xref ref-type="bibr" rid="scirp.104048-ref15">15</xref>]. It takes into account the specifications which can be classified into four classes of specifications: [<xref ref-type="bibr" rid="scirp.104048-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.104048-ref25">25</xref>]</p><p>- Reference trajectory tracking (guidelines): this is to study the influence of the reference signal r(t) on the error signal E(t)</p><p>- Rejection/mitigation of disturbance signals: this is the to study the influence of the b(t) disturbance signal on the Error Signal E(t)</p><p>- Measurement Noise Mitigation: it was intended to study the influence of noise signals w(t) on the signal U(t) and on the output signal y(t)</p><p>- Moderate control: it is a question of studying the influence of the reference signals r(t) and the disturbance signal b(t) on the command signal u(t)</p></sec><sec id="s4_3"><title>4.3. Standard Problem of H-∞</title><p>The H-∞ synthesis uses the concept of standard problem, which is shown in <xref ref-type="fig" rid="fig7">Figure 7</xref>: the P(s) transfer matrix models the dynamic interactions between 2 sets of inputs and 2 sets of outputs: vector IV represents external inputs, such as reference signals, disturbances, noises; The vector II represents the commands; the e signals are chosen to characterize the right functioning of “system”; Finally, y represents the measures available to develop the order.</p><p>Riccati Equation Solution</p><p>From the following model below;</p><p>{ x ( t ) = A x ( t ) + B w w ( t ) + B u u ( t ) Z ( t ) = C z x ( t ) + D z w w ( t ) + D z u u ( t ) y ( t ) = C y x ( t ) + D y w w ( t ) + D y u u ( t ) (18)</p><p>with x(t): is the state vector</p><p>u(t): is the vector input or command</p><p>y(t): is the observation vector or exit.</p><p>A = evolution or state matrix</p><p>B<sub>u</sub> = control or input matrix</p><p>C<sub>y</sub> = observation matrix</p><p>D<sub>zu</sub> = coupling inputs outputs matrix (direct transmition)</p><p>For the problem H-∞ standard certain assumption must be respected:</p><p>➢ H1) -the even (A B<sub>U</sub>) is stabilized or commendable</p><p>-The pair (C<sub>Y</sub>, A) is detectable or observable</p><p>These two conditions guarantee the existence of the corrector that stabilizes the closed loop system.</p><p>➢ H2) rank(D<sub>ZU</sub>) = M<sub>U</sub> and rank(D<sub>YW</sub>) = P<sub>Y</sub> these are the conditions to ensure that the K<sub>(P)</sub> corrector is clean. That is there are many Z controlled outputs as U(P<sub>Z</sub> ≥ M<sub>U</sub>) and that there are at least many W-screen entries as there are Y(M<sub>W</sub> &gt; P<sub>Y</sub>).</p><p>&#216; H3) rank [ A − j w I n B u C z D z u ] = n + m u guarantees that the transfer P<sub>ZU</sub> has no zero on the imaginary axis. (19)</p><p>➢ H4) rank [ A − j w I n B w C y D y w ] = n + P y guarantee that the transfer P<sub>YW</sub> has no zero on the imaginary axis.</p><p>These four hypotheses must be verified. Using Matlab</p><p>To obtain the simplest expressions, the following additional conditions are introduced.</p><p>D z w = 0 ; D z u T [ C z D z u ] = [ 0 I m u ] ; D y u = 0 ; [ B w D y w ] D y w T = [ 0 I p y ] (20)</p><p>So there is a K(p) corrector solution to the problem Hꚙ standard</p><p>1) The Hamiltonian Matrix</p><p>[ A γ − 2 B w B w T − B u B u T − C z T C z − A T ] has no values of its own on the imaginary axis and there is a sysmmetrical matrix X ∞ ≥ 0 such as:</p><p>X ∞ A + A T X ∞ + X ∞ ( γ − 2 B w B w T − B u B u T ) X ∞ + C z T C z = 0 (21)</p><p>2) The Hamiltonian Matrix</p><p>[ A T γ − 2 C z T C z − C y T C y − B w B w T A ] has no values of its own on the axis imaginary and there is a symmetrical matrix Y ∞ ≥ 0 such as</p><p>Y ∞ A + A T Y ∞ + Y ∞ ( γ − 2 C z T C z − C y T C y ) Y ∞ + B w B w T = 0 (22)</p><p>3) − ρ ( X ∞ Y ∞ ) &lt; γ 2 or ρ corresponds to the module of the highest value (spectral radius). In addition, all K(P) correctors responding to the problem are given by K ( P ) = F l [ K a ( P ) , ∅ ( P ) ] or ∅ ( P ) is a stable function, standard H ∞ is below the Y and K a ( P )</p><p>K a ( P ) = [ A ∞ ^ − Z ∞ L ∞ Z ∞ B u F ∞ 0 I m u − C y I p y 0 ] (23)</p><p>with</p><p>A ∞ ^ = A + γ − 2 B w B w T X ∞ + B u F ∞ + Z ∞ L ∞ C y (24)</p><p>F ∞ = − B u T X ∞</p><p>L ∞ = − Y ∞ C y T</p><p>Z ∞ = ( I n − Y − 2 X ∞ Y ∞ ) − 1</p><p>A particular corrector can be obtained as the central corrector, obtained by taking 0, which gives:</p><p>K 0 ( P ) = [ A ∞ ^ − Z ∞ L ∞ F ∞ 0 ] (25)</p><p>4) Equivalent model of the HAPF (applying H-∞ to filter) (<xref ref-type="fig" rid="fig8">Figure 8</xref>)</p><p>The equivalent reactance gives us:</p><p>X T c L c x f = π X l   P F f X c P F f X c P F f ( 2 π − 2 α x + sin 2 α x ) − π X l   P F f + X l   P F f (26)</p><p>Avec X l   c f = w l c ; X l   P F f = w l P F ; X c f P F = 1 / w C P F ; w = 2 π f</p><p>From the equivalent model we have the mesh equation;</p><p>V x + X T c L c x f I c x n − V a f = 0 (27)</p><p>suppose β = π X l   P F f X c P F f X c P F f ( 2 π − 2 α x + sin 2 α x ) − π X l   P F f</p><p>where V x + β I c x n + X l c f I c x n − V a f = 0 by posing U l c f = X l c f I c x n this implies U l c f = − β I c x n + V a f − V x and L c d I c n x d t = − β I c x n + V a f − V x which ultimately gives</p><p>d I c n x d t = − β L c I c x n + V a f L c − V x L c (28)</p><p>However, the current at the entrance to the active Filter gives:</p><p>I a f = I F a − I F b which is equivalent to d Q a f d t = I F a − I F b</p><p>C d c d V a f d t = I F a − I F b which is still equivalent to:</p><p>d V a f d t = 1 C d c ( I F a − I F b ) (29)</p><p>So we obtain these two equations</p><p>d I c n x d t = − β L c I c x n + V a f L c − V x L c (30)</p><p>d V a f d t = 1 C d c ( I F a − I F b )</p><p>Lets translate these two equations into Parks landmark</p><p>d I d d t = − β L c I d + w I q − V x d L c</p><p>d I q d t = − β L c I q − w I d − V x q L c</p><p>d V a f d d t = 1 C d c ( I d − I l d ) + w V a f q (31)</p><p>d V a f d d t = 1 C d c ( I q − I l q ) − w V a f d</p><p>with</p><p>− I d et I q : represents variations in park components associated with line currents at the entrance to the LCL filter</p><p>V a f d et V a f q : presents variations in Park components associated with voltage in the LCL filter capacitive bus.</p><p>− I l d et I l q : presents variations in Park components associated with currents at the right straightener entrance.</p><p>The appearing command vector U, which includes the non-linearities of the system, is written as follows:</p><p>U = ( I l d , I l q ) t</p><p>The state vector X</p><p>X = ( I d , I q , V a f d , V a f q ) t (32)</p><p>Finally we deduct our state matrix, entry and exit</p><p>- Matrice d’&#233;tat A</p><p>A = ( − β L c w − 1 L c 0 − w − β L c 0 − 1 L c − 1 C d c 0 0 w 0 1 L c − w 0 ) (33)</p><p>- Matrice d’entr&#233;e B</p><p>B = ( 0 0 0 0 − 1 L c 0 0 − 1 L c ) (34)</p><p>- Matrice de sortie C</p><p>C = ( 0 0 1 0 0 0 0 1 ) (35)</p><p>with the matrice obtain above will permit us to have a good functioning of the H∞ corrector.</p></sec></sec><sec id="s5"><title>5. Simulation Results and Discussions</title><p>The proposed control strategy is simulated in MATLAB SIMULINK environment to check the performance of the control strategy in improving the system behavior. The simulation is carried under two different conditions:</p><p>Unbalance Non-linear Load</p><p>Balance Non-linear Load</p><p>The performance of the system with the proposed control strategy under different conditions is discussed in detail in the following section.</p>Simulation Results with Non-Linear Load (<xref ref-type="table" rid="table2">Table 2</xref>)<p>To study the performance of the system when the source voltage is in equilibrium and connected to a non-linear load with R<sub>l</sub> and L<sub>c</sub>. The load turns to inject harmonic back to the source current coursing other linear load to suffer malfunction. The simulink model of the system is shown in <xref ref-type="fig" rid="fig9">Figure 9</xref>.</p><p>As observed from the above current curve of a single phased compared with that of <xref ref-type="fig" rid="fig1">Figure 1</xref>0, it’s clearly seen that due to the injected harmonics to the system has changed the sharp of the curve, therefore by applying our filter topology to smoothing the sharp of the curve (<xref ref-type="fig" rid="fig1">Figure 1</xref>1).</p></sec><sec id="s6"><title>6. Unbalanced Non-Linear Load (<xref ref-type="table" rid="table3">Table 3</xref>)</title><p>The simulink model is same as that of the balance load while maintaining similar</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> System parameters nonlinear load</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >System parameters</th><th align="center" valign="middle" >value</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Supply voltage</td><td align="center" valign="middle" >380 v</td><td align="center" valign="middle" >l<sub>c</sub></td><td align="center" valign="middle" >5 mH</td></tr><tr><td align="center" valign="middle" >Load resistance</td><td align="center" valign="middle" >30 Ω</td><td align="center" valign="middle" >l<sub>PF</sub></td><td align="center" valign="middle" >30 mH</td></tr><tr><td align="center" valign="middle" >Load inductance</td><td align="center" valign="middle" >1 mH</td><td align="center" valign="middle" >C<sub>PF</sub></td><td align="center" valign="middle" >160 uF</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >C<sub>d</sub></td><td align="center" valign="middle" >1500 uF</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >β</td><td align="center" valign="middle" >−3,624,192</td></tr></tbody></table></table-wrap><p>parameters, with an additional unbalanced load. See simulink model in <xref ref-type="fig" rid="fig1">Figure 1</xref>2.</p><p>To study the performance of the system when the load is unbalance with the</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> System parameter of unbalanced nonlinear load</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >System parameters</th><th align="center" valign="middle" >value</th></tr></thead><tr><td align="center" valign="middle" >Supply voltage</td><td align="center" valign="middle" >380 v</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Balanced load</td></tr><tr><td align="center" valign="middle" >Load resistance</td><td align="center" valign="middle" >30 Ω</td></tr><tr><td align="center" valign="middle" >Load inductance</td><td align="center" valign="middle" >1 mH</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Unbalanced load</td></tr><tr><td align="center" valign="middle" >Load resistance R1</td><td align="center" valign="middle" >26 Ω</td></tr><tr><td align="center" valign="middle" >R2</td><td align="center" valign="middle" >15 Ω</td></tr><tr><td align="center" valign="middle" >R3</td><td align="center" valign="middle" >30 Ω</td></tr><tr><td align="center" valign="middle" >L1</td><td align="center" valign="middle" >90 mH</td></tr><tr><td align="center" valign="middle" >L2</td><td align="center" valign="middle" >100 mH</td></tr><tr><td align="center" valign="middle" >L3</td><td align="center" valign="middle" >85 mH</td></tr></tbody></table></table-wrap><p>above parameters, the simulation is carried out. And the simulation result of phase1 is presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>2, showing the difference in amplitude.</p><p>From the above analysis it is obvious that each line with respect of the unbalanced load injected to the system has caused different distortion in the lines (phase) making each line to observed different THD 23.98%, 22.34%, 30.48% as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>3.</p><sec id="s6_1"><title>6.1. Comparative Study of System before Filtering</title><p>A comparative study is made to analyze the performance of the system at various operating conditions when operating with balanced load, unbalanced load and balanced voltage. The comparison is given in <xref ref-type="table" rid="table4">Table 4</xref>. From the results it is clear that the system behavior can be improved after the filter is connected and the source current THD will be very less and is within the IEEE permissible standards.</p></sec><sec id="s6_2"><title>6.2. Simulation Results of Non-Linear Load after Filtering</title><p>The power system may experience unbalanced load and voltage source conditions at many times. Thus, the behavior of the proposed control strategy is analyzed</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Comparison of source current THD</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Name</th><th align="center" valign="middle" >THD before filtering</th></tr></thead><tr><td align="center" valign="middle" >linear load</td><td align="center" valign="middle" >00%</td></tr><tr><td align="center" valign="middle" >nonlinear load</td><td align="center" valign="middle" >30%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load phase 1</td><td align="center" valign="middle" >23.98%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load phase 2</td><td align="center" valign="middle" >22.34%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load phase 3</td><td align="center" valign="middle" >30.48%</td></tr></tbody></table></table-wrap><p>by simulating it under non-linear load, unbalanced non-linear load and voltage condition. Here the non-linear load is created by connecting three single-phase uncontrolled rectifiers and resistor. The load voltage values are given in <xref ref-type="table" rid="table5">Table 5</xref>.</p><p>A passive filter is connected at PCC to eliminate fifth order harmonics. Also an active filter is also connected at the output of the VSI. The values of these filters along with load values are given in <xref ref-type="table" rid="table5">Table 5</xref>. The filter impedance should be less</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> System parameters</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >System parameters</th></tr></thead><tr><td align="center" valign="middle" >Supply line<sub> </sub></td><td align="center" valign="middle" >380 v</td></tr><tr><td align="center" valign="middle" >Sours resistance (Rs)</td><td align="center" valign="middle" >15 mH</td></tr><tr><td align="center" valign="middle" >frequency</td><td align="center" valign="middle" >50 Hz</td></tr><tr><td align="center" valign="middle"  colspan="2"  >load</td></tr><tr><td align="center" valign="middle" >Load resistance</td><td align="center" valign="middle" >0.02 Ω</td></tr><tr><td align="center" valign="middle" >Load inductance</td><td align="center" valign="middle" >15 mH</td></tr><tr><td align="center" valign="middle" >Non-linear resistance Rd</td><td align="center" valign="middle" >30 Ω</td></tr><tr><td align="center" valign="middle"  colspan="2"  >filter</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Passive filter</td></tr><tr><td align="center" valign="middle" >Lc</td><td align="center" valign="middle" >12 mH</td></tr><tr><td align="center" valign="middle" >Lpf</td><td align="center" valign="middle" >30 mH</td></tr><tr><td align="center" valign="middle" >Cpf</td><td align="center" valign="middle" >31.1 μF</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Active filter</td></tr><tr><td align="center" valign="middle" >Resistance</td><td align="center" valign="middle" >2.1 Ω</td></tr><tr><td align="center" valign="middle" >Capacitor Cd</td><td align="center" valign="middle" >1500 μF</td></tr><tr><td align="center" valign="middle" >Vdc</td><td align="center" valign="middle" >105 v</td></tr></tbody></table></table-wrap><p>than the system impedance for effective filtering. The simulation is carried out under the following conditions; -balanced non-linear load-unbalanced non-linear load (phase 1, 2 and 3).</p><p>From observation and assumption the phase 3 of the unbalanced non-linear load will produced a level of THD with after filtering will respect the norms of THD. With the system parameters in <xref ref-type="table" rid="table5">Table 5</xref>, the proposed control strategy is simulated and the circuit diagram is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>4. The MATLAB SIMULINK results are presented in Figures 15-17 respectively. <xref ref-type="fig" rid="fig1">Figure 1</xref>8 shows the source current after compensation. The THD of this current is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>6 which is (3.16%) Now the THD of the current is less and the harmonic analysis is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>7. The use of adaptive hybrid active power filter increases the performance of the system and the overall power factor is also improved. In addition, 5th order harmonics are greatly reduced.</p><p>Thus, from the above results it is clear that the harmonic filtering is effected when the source impedance is less than the filter impedance. Hence, to have better performance characteristics the source impedance should be always greater than the filter impedance.</p><p>The robust adaptive h-infinity control offers us a THD of 3.16% after filtering a result admissible by the IEEE 519-1996 standard this result is consolidated by the work of [<xref ref-type="bibr" rid="scirp.104048-ref4">4</xref>]. The harmonic currents reach 8 A. for the case of a balanced network.</p></sec><sec id="s6_3"><title>6.3. Case of an Unbalance Non-Linear Load after Filtering</title><p>In the case of an unbalanced non-linear load the simulation is done and observation is taken per phase since an additional non-linear load is added to each phase with different values causing each phase to obtain different THD. The table of values for the additional load is given in <xref ref-type="table" rid="table6">Table 6</xref> below.</p><p>The h-infinity command here at this level allows the filter to produce harmonic currents adapted to the disturbance of the network depending on the nature of the disturbance of each phase with THD concerned of 1.8%, 3.29%, 2.78%.</p></sec><sec id="s6_4"><title>6.4. Comparative Study under Various Conditions</title><p>A comparative study of the three phase source current THD during unbalanced and balanced load at various operating conditions is presented in <xref ref-type="table" rid="table7">Table 7</xref>. From these results it is clear that the proposed control strategy works better at almost all operating conditions and thus helps in improving the quality of electric power delivered to the end user.</p></sec></sec><sec id="s7"><title>7. Conclusion</title><p>In this article, it was a question of simultaneously using two aspects for the optimization of harmonic pollution control, namely an algorithm of the robust stochastic H-infinite control which offers several possibilities of implementation for real cases with electrical networks having API modules—siemens. This algorithm offers compensation results for THDs admissible by standard IEC 61000-2-2 as an additional contribution. This control and command technique is directly tested on a TLC adaptive hybrid filter topology which offers advantages such as reduction of switching losses during the injection of currents into the network,</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Unbalanced load</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Unbalanced load</th></tr></thead><tr><td align="center" valign="middle" >Phase 1; load resistance</td><td align="center" valign="middle" >26 Ω</td></tr><tr><td align="center" valign="middle" >Load inductance</td><td align="center" valign="middle" >90 mH</td></tr><tr><td align="center" valign="middle" >Phase 2; load resistance</td><td align="center" valign="middle" >15 Ω</td></tr><tr><td align="center" valign="middle" >Load inductance</td><td align="center" valign="middle" >100 mH</td></tr><tr><td align="center" valign="middle" >Phase 3 load resistance</td><td align="center" valign="middle" >30 Ω</td></tr><tr><td align="center" valign="middle" >Load inductance</td><td align="center" valign="middle" >85 mH</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Comparative simulation results</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >BEFORE FILTERING</th></tr></thead><tr><td align="center" valign="middle" >NAME</td><td align="center" valign="middle" >THD</td></tr><tr><td align="center" valign="middle" >linear load</td><td align="center" valign="middle" >00%</td></tr><tr><td align="center" valign="middle" >Balanced nonlinear load</td><td align="center" valign="middle" >30%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load (phase 1)</td><td align="center" valign="middle" >27.98%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load (phase 2)</td><td align="center" valign="middle" >22.34%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load (phase 3)</td><td align="center" valign="middle" >30.48%</td></tr><tr><td align="center" valign="middle"  colspan="2"  >AFTER FILTERING</td></tr><tr><td align="center" valign="middle" >balanced nonlinear load</td><td align="center" valign="middle" >3.16%</td></tr><tr><td align="center" valign="middle" >unbalanced nonlinear load (phase 1)</td><td align="center" valign="middle" >1.88%</td></tr><tr><td align="center" valign="middle" >unbalanced nonlinear load (phase 2)</td><td align="center" valign="middle" >3.29%</td></tr><tr><td align="center" valign="middle" >Unbalanced nonlinear load (phase 3)</td><td align="center" valign="middle" >2.78%</td></tr></tbody></table></table-wrap><p>limitation of resonance problems and above all low power consumption at the continuous bus level allowing us to obtain normal results from 105 V. Compared to existing models in the literature which require 600 v for the same performance, this article therefore simultaneously offers two essential contributions to the optimization of harmonic pollution control.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Mouodo, L.V.A., Tamba, J.G. Mayi, O.S. and Bibaya, L. (2020) H-Infinity Control of an Adaptive Hybrid Active Power Filter for Power Quality Compensation. Energy and Power Engineering, 12, 603-640. https://doi.org/10.4236/epe.2020.1211037</p></sec><sec id="s10"><title>Annex</title>Annex 1: Matlap Verification Compilation for H-Infinity Corrector<p>%on detruit tout ce qui est present avant de commencer</p><p>clc</p><p>clear all</p><p>close all</p><p>A = [724.838*10^3 314 −200 0; −314 724.838*10^3 0 −200; 666.7 0 0 314; 0 666.7 −314 0];</p><p>B = [0 0; 0 0; −666.7 0;0 −666.7];</p><p>C = [0 0 1 0;0 0 0 1];</p><p>Dyw = [1 0; 0 1];</p><p>Dzu = [1 0; 0 1];</p><p>mu = [1 0; 0 1];</p><p>py = [1 0; 0 1];</p><p>In = [1 0 0 0; 0 1 0 0; 0 0 1 0; 0 0 0 1];</p><p>Cz = [1 1 1 1; 0 0 0 0];</p><p>Bw = [1 0; 1 0; 1 0; 1 0];</p><p>%model d'etat</p><p>%x. = Ax + BwW + BuU</p><p>%z = Cz + DzwW + DzuU</p><p>%y = Cy + DywW + DyuU</p><p>% creation du systeme d'etat</p><p>G = ss(A, B, C, 0);</p><p>%I) Commande Robuste H infinie</p><p>% 1) matrice de commandabilit&#233;</p><p>%Co = [B, A*B, A^2*B, A^3*B]</p><p>disp('matrice de commandabilite')</p><p>ctrb(G)</p><p>%rang de Co et dire si le systeme est commandable ou pas</p><p>%rang de matrice Co</p><p>% Co = rank([B, A*B, A^2*B, A^3*B])</p><p>G = ss(A, B, C, 0);</p><p>disp('rang')</p><p>rank([B, A*B, A^2*B, A^3*B])</p><p>disp('analyse commandabilite')</p><p>if (rank(ctrb(G)) = = rank(A))</p><p>'Le Syst est commandable'</p><p>else</p><p>'la matrice n-est pas commandable'</p><p>end</p><p>%notre systeme est donc commandable</p><p>%2) matrice d'observabilite.</p><p>%Ob = [C C*A C*A^2 C*A^3]</p><p>disp('matrice observabilite')</p><p>obsv(G)</p><p>disp('rang')</p><p>rank([C, C*A, C*A^2, C*A^3])</p><p>disp('analyse observabilite')</p><p>if (rank(obsv(G)) = = rank(A))</p><p>'Le Syst est observable'</p><p>else</p><p>'la matrice n-est pas observable'</p><p>end</p><p>%notre systeme est donc observable</p><p>% hypothese 2</p><p>disp('rang Dzu')</p><p>rank([Dzu])</p><p>disp('rang mu')</p><p>rank([mu])</p><p>if (rank(Dzu) = = rank(mu))</p><p>'il ya au moins autant de sorties commandees que entrees'</p><p>else</p><p>'il ya pas autant de sorties commandees que entrees'</p><p>end</p><p>disp('rang Dyw')</p><p>rank([Dyw])</p><p>disp('rang py')</p><p>rank([py])</p><p>if (rank(Dyw) = = rank(py))</p><p>'il ya au moins autant de entrees de criteres que de mesure '</p><p>else</p><p>'il ya pas autant de entrees de criteres que de mesure'</p><p>end</p><p>% hypothese 3</p><p>disp('rang A + mu')</p><p>disp('A')</p><p>F = [A-j*In B;Cz Dzu];</p><p>rank([A])</p><p>disp('rang r1')</p><p>r1 = rank([A]) + rank([mu])</p><p>disp('rang r2')</p><p>r2 = rank([F])</p><p>if (rank(r1) = = rank(r2))</p><p>'le transfert pzu na pas de zero sur laxe imaginaire '</p><p>else</p><p>'le transfert pzu a de zero sur laxe imaginair'</p><p>end</p><p>% hypothese 4</p><p>disp('rang A + py')</p><p>disp('A')</p><p>F1 = [A-j*In Bw; C Dyw];</p><p>rank([A])</p><p>disp('rang r11')</p><p>r11 = rank([A]) + rank([py])</p><p>disp('rang r12')</p><p>r12 = rank([F1])</p><p>if (rank(r11) = = rank(r12))</p><p>'le transfert pyw na pas de zero sur laxe imaginaire '</p><p>else</p><p>'le transfert pyw a de zero sur laxe imaginair'</p><p>end</p><p>% les 4 hypotheses sont respectees alors il existe un correcteur K(p)</p><p>% solution du probleme H infini standard</p><p>%1) la matrice hamiltonienne</p><p>disp('transpose de Cz')</p><p>Czt = transpose(Cz)</p><p>disp('transpose de A')</p><p>At = transpose(A)</p><p>disp('transpose de Bw')</p><p>Bwt = transpose(Bw)</p><p>disp('transpose de B')</p><p>Bt = transpose(B)</p><p>disp('transpose de C')</p><p>Ct = transpose(C)</p><p>Y = 1;</p><p>disp('matrice P')</p><p>P = Y^-2*Bw*Bwt-B*Bt</p><p>disp('matrice Q')</p><p>Q = -Czt*Cz</p><p>disp('matrice Hamiltonienne HX')</p><p>HX = [A P;Q -At]</p><p>disp('valeurs propres de HX')</p><p>eig(HX)</p><p>%donc il existe une matrice hamiltonienne HXinf</p><p>disp('delta')</p><p>delta = (A + At)^2−4*P*Q</p><p>X1 = −((A + At) + sqrt(delta))/2*P</p><p>X2 = (−(A + At) + sqrt(delta))/2*P</p><p>if (X1 &lt; 0)</p><p>'mauvaise valeur de X1 a ne pa retenir'</p><p>else</p><p>'bonne valeur de X1 a retenir'</p><p>end</p><p>if (X2 &lt; 0)</p><p>'mauvaise valeur de X2 a ne pa retenir '</p><p>else</p><p>'bonne valeur de X2 a retenir'</p><p>end</p><p>disp('matrice P1')</p><p>P1 = Y^-2*Czt*Cz-Ct*C</p><p>disp('matrice Q')</p><p>Q1 = -Bw*Bwt</p><p>disp('matrice Hamiltonienne HY')</p><p>HY = [At P1;Q1 -A]</p><p>disp('valeurs propres de HY')</p><p>eig(HY)</p><p>%donc il existe une matrice hamiltonienne HXinf</p><p>disp('delta1')</p><p>delta1 = (At + A)^2-4*P1*Q1</p><p>Y1 = -((At + A) + sqrt(delta1))/2*P1</p><p>Y2 = (-(At + A) + sqrt(delta1))/2*P1</p><p>if (Y1 &lt; 0)</p><p>' mauvaise valeur de Y1 a ne pa retenir'</p><p>else</p><p>'bonne valeur de Y1 a retenir'</p><p>end</p><p>if (Y2 &lt; 0)</p><p>'mauvaise valeur de Y2 a ne pa retenir '</p><p>else</p><p>'bonne valeur de Y2 a retenir'</p><p>end</p><p>% 3) montrons que fi(X2*Y2) &lt; Y^2</p><p>disp('fi(X2*Y2)')</p><p>fi = X2*Y2</p><p>if (fi &lt; Y^2)</p><p>'cest bon'</p><p>else</p><p>'cest mauvais''</p><p>end</p><p>% 4) determinons les parametres du correcteur central</p><p>disp('Linf')</p><p>Linf = -Y2*Ct</p><p>disp('Finf')</p><p>Finf = -Bt*X2</p><p>disp('Zinf')</p><p>Zinf = pinv(In-X2*Y2)</p><p>disp('Ainf')</p><p>Ainf = A + Bw*Bwt*X2 + B*Finf + Zinf*Linf*C</p><p>disp('ZL')</p><p>ZL = Zinf*Linf</p><p>G = ss(Ainf,-ZL,Finf,0)</p><p>disp('fonction de transfert')</p><p>sys = tf(G)</p>Annex 2: PLL (Phase Locked Loop)<disp-formula id="scirp.104048-formula1"><graphic  xlink:href="//html.scirp.org/file/1-6202437x111.png"  xlink:type="simple"/></disp-formula>Annex 3: Transformation de Park<disp-formula id="scirp.104048-formula2"><graphic  xlink:href="//html.scirp.org/file/1-6202437x112.png"  xlink:type="simple"/></disp-formula>Annex 4: Transformation Inverse de Park<disp-formula id="scirp.104048-formula3"><graphic  xlink:href="//html.scirp.org/file/1-6202437x113.png"  xlink:type="simple"/></disp-formula>Annex 5: Subsystem<disp-formula id="scirp.104048-formula4"><graphic  xlink:href="//html.scirp.org/file/1-6202437x114.png"  xlink:type="simple"/></disp-formula>Annex 6: PI Corrector<disp-formula id="scirp.104048-formula5"><graphic  xlink:href="//html.scirp.org/file/1-6202437x115.png"  xlink:type="simple"/></disp-formula>Annex 7: Command H-Infinity<disp-formula id="scirp.104048-formula6"><graphic  xlink:href="//html.scirp.org/file/1-6202437x116.png"  xlink:type="simple"/></disp-formula></sec></body><back><ref-list><title>References</title><ref id="scirp.104048-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Santos, E., Khosravy, M. and Lima, M.A.A. (2020) Esprit Associated with Filter Bank for Power-Line Harmonics, Sub-Harmonics and Inter-Harmonics Parameters Estimation. Electrical Power and Energy Systems, 118, Article ID: 105731. https://doi.org/10.1016/j.ijepes.2019.105731</mixed-citation></ref><ref id="scirp.104048-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Shivaie, M.A. (2019) Techno-Economic Multi-Objective Model for Hybrid Harmonic Filter Planning Considering Uncertainty in Non-Linear Loads. Electrical Power and Energy Systems, 112, 339-352. https://doi.org/10.1016/j.ijepes.2019.05.013</mixed-citation></ref><ref id="scirp.104048-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Guan, M. (2020) Harmonics Detection via Input Observer with Grid Frequency Fluctuation. Electrical Power and Energy Systems, 115, Article ID: 105461. https://doi.org/10.1016/j.ijepes.2019.105461</mixed-citation></ref><ref id="scirp.104048-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Hanna Nohra, A.F., Kanaan, H.Y. and Fadel, M. (2016) Comparative Evaluation of Harmonic Compensation Methods Based on Power Calculation and Current Harmonic Detection for Single-Phase Applications. IECON 2016 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, 23-26 October 2016, 3685-3690.</mixed-citation></ref><ref id="scirp.104048-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Marini, A., Ghazizadeh, M.-S. and Mortazavi, S.S. (2019) A Harmonic Power Market Framework for Compensation Management of DER Based Active Power Filters in Microgrids. Electrical Power and Energy Systems, 113, 916-931. https://doi.org/10.1016/j.ijepes.2019.06.020</mixed-citation></ref><ref id="scirp.104048-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Yang, L. (2020) 3D Modeling of an HVDC Converter Transformer and Its Application on the Electrical Field of Windings Subject to Voltage Harmonics. Electrical Power and Energy Systems, 117, Article ID: 105581. https://doi.org/10.1016/j.ijepes.2019.105581</mixed-citation></ref><ref id="scirp.104048-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Marini, A. and Piegari, L. (2019) A Harmonic Power Market Framework for Compensation Management of DER Based Active Power Filters in Microgrids. Electrical Power and Energy Systems, 113, 916-931. https://doi.org/10.1016/j.ijepes.2019.06.020</mixed-citation></ref><ref id="scirp.104048-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Kapoor, R. (2011) Hybrid Demodulation Concept and Harmonic Analysis for Single/Multiple Power Quality Events Detection and Classification. Electrical Power and Energy Systems, 33, 1608-1622. https://doi.org/10.1016/j.ijepes.2011.06.006</mixed-citation></ref><ref id="scirp.104048-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Jannesar, M.R. (2019) Optimal Probabilistic Planning of Passive Harmonic Filters in Distribution Networks with High Penetration of Photovoltaic Generation. Electrical Power and Energy Systems, 110, 332-348. https://doi.org/10.1016/j.ijepes.2019.03.025</mixed-citation></ref><ref id="scirp.104048-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Padmanathan, K., Govindarajan, U., Ramachandaramurthy, V.K., Selvi, S.O.T. and Jeevarathinam, B. (2018) Integrating Solar Photovoltaic Energy Conversion Systems Intoindustrial and Commercial Electrical Energy Utilization—A Survey. Journal of Industrial Information Integration, 10, 39-54. https://doi.org/10.1016/j.jii.2018.01.003</mixed-citation></ref><ref id="scirp.104048-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kalair, A., Abas, N., Kalair, A.R., Saleem, Z. and Khan, N. (2017) Review of Harmonic Analysis, Modeling and Mitigation Techniques. Renewable and Sustainable Energy Reviews, 78, 1152-1187. https://doi.org/10.1016/j.rser.2017.04.121</mixed-citation></ref><ref id="scirp.104048-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Nduka, O.S. and Pal, B.C. (2018) Quantitative Evaluation of Actual Loss Reduction Benefits of a Renewable Heavy DG Distribution Network. IEEE Transactions on Sustainable Energy, 9, 1384-1396. https://doi.org/10.1109/TSTE.2017.2776610</mixed-citation></ref><ref id="scirp.104048-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Hu, H., Shi, Q., He, Z., He, J. and Gao, S. (2015) Potential Harmonic Resonance Impacts of PV Inverter Filters on Distribution Systems. IEEE Transactions on Sustainable Energy, 6, 151-161. https://doi.org/10.1109/TSTE.2014.2352931</mixed-citation></ref><ref id="scirp.104048-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Wang, S., Liu, X., Wang, K., Wu, L. and Zhang, Y. (2018) Tracing Harmonic Contributions of Multiple Distributed Generations in Distribution Systems with Uncertainty. International Journal of Electrical Power &amp; Energy Systems, 95, 585-591. https://doi.org/10.1016/j.ijepes.2017.09.014</mixed-citation></ref><ref id="scirp.104048-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Kaddah, S.S., Abo-Al-Ez, Kh.M., Megahed, T.F. and Osman, M.G. (2016) Probabilistic Power Quality Indices for Electric Grids with Increased Penetration Level of Wind Power Generation. International Journal of Electrical Power &amp; Energy Systems, 77, 50-58. https://doi.org/10.1016/j.ijepes.2015.09.026</mixed-citation></ref><ref id="scirp.104048-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Wang, L. (2019) Adaptive Hybrid Active Power Filters. Power Systems Library of Congress Control Number: 2018948613, Springer, Singapore.</mixed-citation></ref><ref id="scirp.104048-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Dugan, R.C., McGranaghan, M.F., Santoso, S. and Beaty, H.W. (2004) Applied Harmonics. In: Electrical Power Systems Quality, 2nd Edition, McGraw-Hill Education, New York, 225-294, Chapter 6.</mixed-citation></ref><ref id="scirp.104048-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Akagi, H. (1996) New Trends in Active Filters for Power Conditioning. IEEE Transactions on Industry Applications, 32, 1312-1322. https://doi.org/10.1109/28.556633</mixed-citation></ref><ref id="scirp.104048-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Hong, Y.Y., Chiu, C.S. and Huang, S.W. (2016) Multi-Scenario Passive Filter Planning in Factory Distribution System by Using Markov Model and Probabilistic Sugeno Fuzzy Reasoning. Applied Soft Computing, 41, 352-361. https://doi.org/10.1016/j.asoc.2016.01.015</mixed-citation></ref><ref id="scirp.104048-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Sakar, S., Balci, M.E., Aleem, S.H.E.A. and Zobaa, A.F. (2018) Integration of Large-Scale PV Plants in Non-Sinusoidal Environments: Considerations on Hosting Capacity and Harmonic Distortion Limits. Renewable and Sustainable Energy Reviews, 82, 176-186. https://doi.org/10.1016/j.rser.2017.09.028</mixed-citation></ref><ref id="scirp.104048-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Chen, Y.L. (2005) Optimal Multi-Objective Single-Tuned Harmonic Filter Planning. IEEE Transactions on Power Delivery, 20, 1191-1197. https://doi.org/10.1109/TPWRD.2002.844282</mixed-citation></ref><ref id="scirp.104048-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Chang, Y.P. and Low, C. (2008) Optimization of a Passive Harmonic Filter Based on the Neural Genetic Algorithm with Fuzzy Logic for a Steel Manufacturing Plant. Expert Systems with Applications, 34, 2059-2070. https://doi.org/10.1016/j.eswa.2007.02.040</mixed-citation></ref><ref id="scirp.104048-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Chang, Y.P. (2010) Integration of SQP and PSO for Optimal Planning of Harmonic Filters. Expert Systems with Applications, 37, 2522-2530. https://doi.org/10.1016/j.eswa.2009.08.025</mixed-citation></ref><ref id="scirp.104048-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Chang, G.W., Chu, S.Y. and Wang, H.L. (2006) A New Method of Passive Harmonic Filter Planning for Controlling Voltage Distortion in a Power System. IEEE Transactions on Power Delivery, 21, 305-312. https://doi.org/10.1109/TPWRD.2005.852355</mixed-citation></ref><ref id="scirp.104048-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Mohammadi, M. (2015) Bacterial Foraging Optimization and Adaptive Version for Economically Optimum Sitting, Sizing and Harmonic Tuning Orders Setting of LC Harmonic Passive Power Filters in Radial Distribution Systems with Linear and Nonlinear Loads. Applied Soft Computing, 29, 345-356. https://doi.org/10.1016/j.asoc.2015.01.021</mixed-citation></ref></ref-list></back></article>