Performance Analysis of Distributed Power Flow Controller Employing Genetic-Based Fuzzy Logic Controller in Photovoltaic-Wind Hybrid System

Abstract

AbstractThe deployment of hybrid non-conventional energy sources has become inevitable due to decrease in natural resources, global warming, growing energy costs, and expanding electrical consumption are all factors to consider. Because solar and wind energy are both free and environmentally beneficial, they are regarded as the finest options for remote (or rural) electricity. The combination of solar power and wind power is a reliable source of energy creating a constant energy flow by avoiding the fluctuations. But this hybrid system gives rise to complications related to power system stability. Most of the industrial loads are controlled by power electronic converters that are sensitive to power system disturbances. Hence, the power quality issues diminution is more focused in recent times as it is vital in power supply industry. A number of FACTS devices such as power semiconductor devices are developed to overcome the above power quality issues. Distributed power flow controller (DPFC), which is emerged from unified power flow controller, is considered as the best reliable device among the others. The DC link is the key distinction between these devices. In the case of DPFC, the DC connection that links both converters does not exist. This paper presents the performance analysis of DPFC when operating with and without genetic algorithm-based fuzzy logic controller, and the simulation results are validated using MATLAB/Simulink software. KeywordsDistributed power flow controller (DPFC)Fuzzy logic controller (FLC)Genetic fuzzy logic controller (GFLC)Power qualitySolar and wind system