Hybrid Energy Management-Based Intelligent ANFIS Control for Smart DC-Microgrid

Adaptive neuro fuzzy inference system (ANFIS) controller approach for a smart DC microgrid is the primary goal of this work. In this project, a DC microgrid is created by combining photovoltaic (PV), wind (WE), and a battery bank. Wind and solar power can be extracted at their optimum efficiency and power quality can be improved by a novel intelligent FO-PID control technique for the source-side converter (SSCs) and the load side converter controlled by proposed ANFIS control technique. Prioritizing (PV and wind) energy sources helps the microgrid to be as cost effective as possible. The recommended ANFIS controller is designed to provide stable and smooth output power. Results from MATLAB/Simulink simulations of the proposed control method are shown and compared to the existing mutual fuzzy logic and FO-PID controller.