基于IDBO-IP&O算法局部遮阴下光伏系统MPPT跟踪研究  

MPPT Tracking of Photovoltaic Systems Under Local Shadowing Based on IDBO-IP&O Algorithm

作　　者：侯帅虎 赵辉[1] 岳有军[1] 王红君[1] HOU Shuaihu;ZHAO Hui;YUE Youjun;WANG Hongjun(Key Laboratory of Tianjin Complex Control Theory and Application,Tianjin University of Technology,Tianjin 300384,China)

机构地区：[1]天津理工大学天津市复杂控制理论与应用重点实验室,天津300384

出　　处：《复杂系统与复杂性科学》2025年第1期146-153,共8页Complex Systems and Complexity Science

基　　金：天津市自然科学基金重点项目(08JCZDJC18600);天津市教委重点基金(2006ZD32)。

摘　　要：为解决光伏MPPT实时跟踪问题,减少光伏阵列在局部遮阴时光伏系统输出功率的损失,提出基于改进蜣螂优化算法(IDBO)结合变步长扰动观察法(IP&O)的双层控制模型。在上层模型中将最优个体引导策略和Levy飞行引入蜣螂优化算法,动态调整区域边界,快速搜索全局最大功率点,减小跟踪波动;在下层模型采用IP&O进行局部跟踪,在保证精度的同时提高了算法收敛的实时性。通过3种复杂遮阴环境以及动态阴影环境下该算法与其他算法对比,验证了该算法在MPPTs中的有效性。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.

关 键 词：光伏阵列 最大功率点跟踪 蜣螂优化算法 局部遮阳 扰动观察法 

分 类 号：TK513.5[动力工程及工程热物理—热能工程] TM615[电气工程—电力系统及自动化]