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Marine Predator Algorithm based Cascaded PIDA Load Frequency Controller for Electric Power Systems with Wave Energy Conversion Systems - 2021

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

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

Research Area:  Metaheuristic Computing

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.

Keywords:  
Load frequency control
Cascaded PIDA
MPA
Wave energy conversion system
Two-area interconnected system

Author(s) Name:  Ahmed H. Yakout, Mahmoud A. Attia, Hossam Kotb

Journal name:  Alexandria Engineering Journal

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.aej.2021.03.011

Volume Information:  Volume 60, Issue 4, August 2021, Pages 4213-4222