A fast GMPPT scheme based on collaborative swarm algorithm for partially shaded photovoltaic system

Deboucha, Houssam and Shams, Immad and Belaid, Sofia Lalouni and Mekhilef, Saad (2021) A fast GMPPT scheme based on collaborative swarm algorithm for partially shaded photovoltaic system. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9 (5). pp. 5571-5580. ISSN 2168-6777, DOI https://doi.org/10.1109/JESTPE.2021.3071732.

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Partial shading condition (PSC) is an inevitable issue faced by the photovoltaic (PV) modules, where the I-V curve shows multiple current stairs and the (P-V) curve exhibits several peaks. In this article, a collaborative swarm algorithm (CSA) scheme to tackle the PSCs has been proposed. The intelligent mechanism of the CSA method allows the share of the best solution (G(best)) found between each algorithm dynamically, which diversifies the exploration phase and helps to determine the accurate global maximum power point (GMPP). The proposed method is deterministic as the utilization of random numbers has been avoided, and only two tuning parameters require tuning. A buck-boost converter is used to verify the proposed method experimentally. The results show that the average tracking time is significantly improved by 200% compared with particle swarm optimization (PSO), Jaya, and ant colony optimization based on new pheromone update (ACO-NUP) algorithms and by 85% compared with the ACO-NUP-PSO algorithm. The collaborative approach was found to be superior over the utilization of individual types of metaheuristic algorithms in terms of tracking speed and efficiency.

Item Type: Article
Funders: Ministry of Higher Education (MoHE) Algeria [PNE 19-20], Ministry of Higher Education, Malaysia, through the Long Term Research Grant Scheme (LRGS) [LRGS/1/2019/UKMUM/01/6/3]
Uncontrolled Keywords: Collaborative swarm algorithm (CSA); Global maximum power point (GMPP); Partial shading conditions (PSCs)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 18 Apr 2022 01:19
Last Modified: 18 Apr 2022 01:19
URI: http://eprints.um.edu.my/id/eprint/26750

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