TITLE:
Neuro-Fuzzy Based Interline Power Flow Controller for Real Time Power Flow Control in Multiline Power System
AUTHORS:
A. Saraswathi, S. Sutha
KEYWORDS:
FACTS Controller, Fuzzy Logic Controller, Interline Power Flow Controller, Reactive Power Compensation (RPC), Voltage Stability
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
29,
2016
ABSTRACT: This article investigates
the power quality enhancement in power system using one of the most famous
series converter based FACTS controller like IPFC (Interline Power Flow
Controller) in Power Injection Model (PIM). The parameters of PIM are derived
with help of the Newton-Raphson power flow algorithm. In general, a sample test
power system without FACTs devices has generated more reactive power, decreased
real power, more harmonics, small power factor and poor dynamic performance
under line and load variations. In order to improve the real power, compensating
the reactive power, proficient power factor and excellent load voltage
regulation in the sample test power system, an IPFC is designed. The D-Q
technique is utilized here to derive the reference current of the converter and
its D.C link capacitor voltage is regulated. Also, the reference voltage of the
inverter is arrived by park transformation technique and its load voltage is
controlled. Here, a sample 230 KV test power system is taken for study. Further
as the conventional PI controllers are designed at one nominal operating point
they are not competent to respond satisfactorily in dynamic operating
conditions. This can be circumvented by a Fuzzy and Neural network based IPFC
and its detailed Simulink model is developed using MATLAB and the overall
performance analysis is carried out under different operating state of affairs.