Power management in hybrid ANFIS PID based AC–DC microgrids with EHO based cost optimized droop control strategy

One of the most critical operations aspects is power management strategies for hybrid AC/DC microgrids. This work presented in AC–DC microgrids with a droop control strategy. At first, photovoltaic, Wind, and battery are used as sources, which supply uncertainties. The AC DC controlled by an Adaptive neuro-fuzzy inference system (ANFIS) controller Proportional Integral Derivative (PID) controller. Simultaneously we calculate running cost Battery. Moreover, optimizer based on elephant herding optimization algorithm formulated to reduce price. method utilizes two stages like clan updating operator separating operator. value Droop Coefficients Control Strategy. autonomous strategy utilized interlinking converter share load between DC. proposed concept implemented MATLAB tool, performance taken terms voltage, power, current PV wind, link voltage current. bidirectional ac/dc flow was subsequently changed from 2.2k W ?2k W. effectiveness dispatch mode under uniform has been verified.