A robust predictive feedback FPID controller using elephant herd virtual inertia optimization control algorithm in Islanded microgrid

摘要

Due to load shedding, circumvent equipment damage, and possible power outages in the electric power system. The continuity of power supply under the Islanded mode of operation in microgrid creates shrink in the power of the tie-line, and frequency oscillation in the event of small load perturbations. Hence, there needs a sufficient capacity of distributed energy resources, proper power management, and a grid dynamic behavior to satisfy the load demand. Therefore, in this paper, an intelligent predictive feedback fuzzy controller (PFF) together with a conventional proportional-integral-derivative (PID) controller (PFFPID) using hybrid elephant herd virtual inertia (EVI) control optimization algorithm is proposed. The proposed controller is designed to optimize the operation based on considering the uncertainties of the grid situation in terms of weather conditions, energy backup capacity, and load profile. The three inputs provided to PFF are renewable power, battery power, and load power, as a membership function in different forms to find the power variation in terms of voltage, frequency, and current. Then to estimate the gain of each output power, the PID controller is used. The purpose of the EVI algorithm is used as a controller optimization algorithm to tune the PFFPID controller to compensate the load based on generated power to meet the load demand. Finally, the simulation is performed with several existing controllers and the result indicates that the proposed controller is robust with respect to random load perturbations and change in the parameter.