基于IP&#x00026;O-ICS算法的光伏系统MPPT控制研究

李昂; 刘文锋; 李音柯; 高春阳

doi:10.19912/j.0254-0096.tynxb.2022-0044

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 203-209. DOI: 10.19912/j.0254-0096.tynxb.2022-0044

基于IP&O-ICS算法的光伏系统MPPT控制研究

李昂, 刘文锋, 李音柯, 高春阳

作者信息 +

RESEARCH ON MPPT CONTROL OF PHOTOVOLTAIC SYSTEM BASED ON IP&O-ICS ALGORITHM

Li Ang, Liu Wenfeng, Li Yinke, Gao Chunyang

Author information +

文章历史 +

摘要

传统的光伏系统MPPT算法易陷入局部最优,而基于智能优化算法的MPPT方法追踪速度慢,皆不能同时兼顾准确性和快速性。对此,该文设计一种变步长扰动观察法（IP&O）结合自适应布谷鸟搜索（ICS）算法的复合算法,先利用IP&O迅速到达对应电压最大的功率极大值点,再根据复杂光照环境下光伏阵列的输出特性,利用该点的功率值调整ICS算法的搜索范围,使其快速准确地追踪到最大功率点。通过仿真对比,验证了此算法在追踪速度和精度上的优越性。

Abstract

The traditional MPPT algorithm of photovoltaic system is easy to fall into the local optimum, and the MPPT method based on the intelligent optimization algorithm has a slow tracking speed, which cannot balance accuracy and speed at the same time. In this regard, this article designs a composite algorithm combining Improved Perturbation and Observation method （IP&O） and improved cuckoo search （ICS） algorithm. It first uses IP&O to quickly track to the power extreme point of the maximum corresponding voltage. Then, according to the output characteristics of the photovoltaic array in the complex lighting environment, the power value of this point is used to dynamically adjust the search range of the ICS algorithm, so that it can track the maximum power point quickly and accurately. Through simulation comparison, the superiority of this algorithm in tracking speed and accuracy is verified.

导出引用

李昂, 刘文锋, 李音柯, 高春阳. 基于IP&O-ICS算法的光伏系统MPPT控制研究[J]. 太阳能学报. 2023, 44(5): 203-209 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0044

Li Ang, Liu Wenfeng, Li Yinke, Gao Chunyang. RESEARCH ON MPPT CONTROL OF PHOTOVOLTAIC SYSTEM BASED ON IP&O-ICS ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 203-209 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0044

中图分类号： TM615

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