TITLE:
ODFF: Optimized Dual Fuzzy Flow Controller Based Voltage Sag Compensation for SMES-Based DVR in Power Quality Applications
AUTHORS:
M. Manikandan, A. Mahabub Basha
KEYWORDS:
Optimized Dual Fuzzy Flow (ODFF), Superconducting Magnetic Energy Storage (SMES), Total Harmonic Distortion (THD), Voltage Sag Compensation, Voltage Sag Depth
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.10,
August
16,
2016
ABSTRACT: The booming electronics
itself carries an impact on power quality. Superconducting Magnetic Energy
Storage (SMES) is proposed to enhance power quality in three-phase systems
under various loads. This paper aimed to compensate the voltage sags under
various faults in the grid systems. The SMES is selected as an energy storage
unit to improve the capability of voltage sag compensation. Optimized Dual
Fuzzy Flow (ODFF) logic controller is designed to prevent the voltage sag time
during excessive phase voltage variation. Hence the proposed controller strategy
reduces the total harmonic distortion during various fault conditions. To
regulate the contribution of active power, the least possible value is improved
using ODFF. The depth of voltage sags compensation is achieved by the over
modulation and an iterative loop is designed in the control block. While
protecting sensitive loads from voltage disturbances, and sags initiated by the
power system, the proposed configuration is advantageous for an industrial
implementation. It is found that the proposed method can result in more than
50% additional sag support time when compared with the previous methods such as
PI and PSO. Utilizing MATLAB Simulink, compensation of sag and minimization of
THD is established, and the simulation tests are performed to evaluate the
performance of the proposed control method.