Abstract：To solve the real-time tracking problem of photovoltaic (PV) MPPT and reduce the loss of output power of the PV system when the PV array is locally shaded, a two-layer control model based on the Improved Dung Beetle Optimization Algorithm (IDBO) combined with the Variable Step Perturbation and Observation (IP&O) method is proposed. The optimal individual guidance strategy and Lévy flight are introduced into the dung beetle optimization algorithm in the upper-layer model, which dynamically adjusts the region boundaries to quickly search for the global maximum power point and reduce the tracking fluctuations; the IP&O is used in the lower-layer model for the local tracking, which ensures the accuracy and improves the real-time convergence of the algorithm at the same time. The effectiveness of this algorithm in MPPTs is verified by comparing with other algorithms in three complex shading environments and dynamic shaded environments.
侯帅虎, 赵辉, 岳有军, 王红君. 基于IDBO-IP&O算法局部遮阴下光伏系统MPPT跟踪研究[J]. 复杂系统与复杂性科学, 2025, 22(1): 146-153.
HOU Shuaihu, ZHAO Hui, YUE Youjun, WANG Hongjun. MPPT Tracking of Photovoltaic Systems Under Local Shadowing Based on IDBO-IP&O Algorithm[J]. Complex Systems and Complexity Science, 2025, 22(1): 146-153.
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