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.