Marine Predator Algorithm based Cascaded PIDA Load Frequency Controller for Electric Power Systems with Wave Energy Conversion Systems

Abstract

This paper proposes a Cascaded PIDA (Proportional-Integral-Derivative-Acceleration) load frequency controller (LFC) for interconnected power systems with Wave Energy Conversion Systems (WECS). The proposed controller parameters are optimized using the Marine Predator Algorithm (MPA), which is a recent optimization technique known to be robust. The Cascaded PIDA controller results are compared to the results of a single structure MPA based PIDA controller and other PIDA controllers whose parameters are optimized using various optimization techniques presented in previous literature. Results show that the MPA-based PIDA-LFC has better results than other PIDA controllers optimized by other techniques, while the MPA-Cascaded PIDA-LFC has proven to have the best performance where the frequency and the tie-line power fluctuations, due to the connected Wave Energy Conversion System, are efficiently damped. Moreover, the results are presented in the form of time-domain simulation conducted via MATLAB /SIMULINK.