MPPT CONTROL OF PHOTOVOLTAIC SYSTEM BASED ON IMPROVED EAGLE PERCHING OPTIMIZATION

Li Weikang; Liu Tingting; Wang Zheming; Yu Wenying; Lu Wu; Liu Yongsheng

doi:10.19912/j.0254-0096.tynxb.2023-1516

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 662-668. DOI: 10.19912/j.0254-0096.tynxb.2023-1516

MPPT CONTROL OF PHOTOVOLTAIC SYSTEM BASED ON IMPROVED EAGLE PERCHING OPTIMIZATION

Li Weikang, Liu Tingting, Wang Zheming, Yu Wenying, Lu Wu, Liu Yongsheng

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Abstract

In this paper, a maximum power tracking control based on the improved eagle perching optimization algorithm is proposed. The algorithm first randomly samples the whole area, finds the optimal solution at the sampling point through the objective function, and then samples the optimal solution twice, so as to realize the transition from global search to local search. On this basis, the adaptive variable is introduced as the feedback parameter of the algorithm, and the adaptive transformation from global search to local search is realized. The simulation results show that compared with the traditional eagle rooster optimization algorithm, Cuckoo algorithm and particle swarm optimization algorithm, the proposed algorithm has the characteristics of fast-tracking speed, high convergence accuracy and small early oscillation under uniform illumination, static and dynamic local shadow conditions, and can effectively improve the maximum power tracking efficiency and accuracy of photovoltaic systems.

Key words

photovoltaic system / maximum power point tracking / illumination conditions / improved eagle perching optimization algorithm / partial shadow condition

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Li Weikang, Liu Tingting, Wang Zheming, Yu Wenying, Lu Wu, Liu Yongsheng. MPPT CONTROL OF PHOTOVOLTAIC SYSTEM BASED ON IMPROVED EAGLE PERCHING OPTIMIZATION[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 662-668 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1516

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