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Metaheuristic-Based Control for Three-Phase Grid-Connected Solar Photovoltaic Systems
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Author(s): Afef Badis (National Engineering School of Monastir, Tunisia), Mohamed Habib Boujmil (Higher Institute of the Technological Studies of Nabeul, Tunisia)and Mohamed Nejib Mansouri (National Engineering School of Monastir, Tunisia)
Copyright: 2022
Volume: 11
Issue: 1
Pages: 24
Source title:
International Journal of Energy Optimization and Engineering (IJEOE)
Editor(s)-in-Chief: Roman Rodriguez-Aguilar (Universidad Panamericana), Jose Marmolejo-Saucedo (National Autonomous University of Mexico)and Pandian Vasant (Ton Duc Thang University, Vietnam)
DOI: 10.4018/IJEOE.310003
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Abstract
In this paper, a novel cascade control technique is proposed in order to identify the parameters of cascade controllers in a grid-connected photovoltaic (PV) system. Here, tuning of the inner and outer loop controllers is done simultaneously by means of an optimized genetic algorithm-based fractional order PID (GA-FOPID) control. Simulations are conducted using Matlab/Simulink software under different operating conditions, namely under fast-changing weather conditions, sudden parametric variations, and voltage dip, for the purpose of verifying the effectiveness of the proposed control strategy. By comparing the results with recently published optimization techniques such as particle swarm optimization (PSO) and ant colony optimization (ACO), the superiority and effectiveness of the proposed GA-FOPID control have been proven.
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