Composite PV MPPT algorithm based on improved grey wolf optimization algorithm with perturbation observation algorithm

Jianning Lu; Feng Zhan; Changting Fan

doi:10.1117/12.2689402

10 August 2023 Composite PV MPPT algorithm based on improved grey wolf optimization algorithm with perturbation observation algorithm

Jianning Lu, Feng Zhan, Changting Fan

Author Affiliations +

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481N (2023) https://doi.org/10.1117/12.2689402
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

A composite photovoltaic (PV) MPPT algorithm with improved gray wolf algorithm and perturbed observation (IGWO-P&O) algorithm is proposed, introducing a nonlinear convergence factor and Lévy flight strategy in the algorithm to optimize the overall search rate and global search capability, switching to the perturbed observation method when searching near the maximum power point (MPP), and improving the efficiency of maximum power point tracking (MPPT) of PV power generation by using its fast convergence property near the extreme value point.

Citation Download Citation

Jianning Lu, Feng Zhan, and Changting Fan "Composite PV MPPT algorithm based on improved grey wolf optimization algorithm with perturbation observation algorithm", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481N (10 August 2023); https://doi.org/10.1117/12.2689402

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