Power quality enhancement of solar–wind grid connected system employing genetic-based ANFIS controller

Abstract The demand for electricity globally has led to the search renewable energy resources power generation and attaining it in an eco-friendly manner. solar photovoltaic systems wind-based generators of are regarded as primary called Distributed Generation units they scattered nature. These operated with bidirectional converters by providing auxiliary services at grid side load either mode microgrid operation. Besides, DC units’ integration gets converted into AC system means inverters. types not only increase voltage current harmonics frequency deviations but also drive distribution risky operating zone. This emphasizes stipulation advanced control schemes architecture. Consequently, electronic introduce affect performance. To report these expanded issues, authors recognized custom device entitled Power Flow Controller (DPFC). In this study, proposed on solar–wind-based hybrid approach been examined primarily through strategy DPFC mechanism. Later, Genetic Algorithm (GA)-based fuzzy logic controller GA-based adaptive neuro inference shunt context built Furthermore, validated results verified using MATLAB/Simulink software.