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Metaheuristic-Based Control for Three-Phase Grid-Connected Solar Photovoltaic Systems

Metaheuristic-Based Control for Three-Phase Grid-Connected Solar Photovoltaic Systems

Afef Badis, Mohamed Habib Boujmil, Mohamed Nejib Mansouri
Copyright: © 2022 |Volume: 11 |Issue: 1 |Pages: 24
ISSN: 2160-9500|EISSN: 2160-9543|EISBN13: 9781683182627|DOI: 10.4018/IJEOE.310003
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MLA

Badis, Afef, et al. "Metaheuristic-Based Control for Three-Phase Grid-Connected Solar Photovoltaic Systems." IJEOE vol.11, no.1 2022: pp.1-24. http://doi.org/10.4018/IJEOE.310003

APA

Badis, A., Boujmil, M. H., & Mansouri, M. N. (2022). Metaheuristic-Based Control for Three-Phase Grid-Connected Solar Photovoltaic Systems. International Journal of Energy Optimization and Engineering (IJEOE), 11(1), 1-24. http://doi.org/10.4018/IJEOE.310003

Chicago

Badis, Afef, Mohamed Habib Boujmil, and Mohamed Nejib Mansouri. "Metaheuristic-Based Control for Three-Phase Grid-Connected Solar Photovoltaic Systems," International Journal of Energy Optimization and Engineering (IJEOE) 11, no.1: 1-24. http://doi.org/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.