Abstract

A maximum power point tracking (MPPT) is a method to extract the optimal operating point of the photovoltaic power generation system. Under partial shading conditions (PSC), the power voltage characteristics exhibit more than one local peaks and one global peak. This paper presents a cuckoo search (CS) algorithm to catch the global maximum power point of PV under PSC. The main contributions of this work are to minimize the tracking time and increase the tracking efficiency of the PV modules. Furthermore, this work aims to study the behavior performance of two MPPT techniques which have been designed for extracting the GMPP under the PSC. The developed algorithms are implemented in MATLAB/Simulink platform, and their performances are evaluated. In addition, a step up (boost) DC–DC converter is designed and interfaced with resistive load in the proposed model. The prominent outcomes show that the CS has the best performance compared to the Perturb and observe (P&O) techniques. In addition, for all test cases, the tracking efficiency of the CS is higher than 99.97% within 150–180 ms.

中文翻译：

---

使用布谷鸟搜索算法确定部分遮蔽下光伏的全局最大功率点跟踪

摘要

最大功率点跟踪（MPPT）是一种提取光伏发电系统最佳运行点的方法。在部分阴影条件（PSC）下，电源电压特性会显示一个以上的局部峰值和一个整体的峰值。本文提出了一种布谷鸟搜索（CS）算法，以捕获PSC下PV的全局最大功率点。这项工作的主要贡献是使跟踪时间最短并提高了光伏组件的跟踪效率。此外，这项工作旨在研究设计用于在PSC下提取GMPP的两种MPPT技术的行为性能。所开发的算法在MATLAB / Simulink平台上实现，并对其性能进行了评估。此外，设计了一个升压（升压）DC-DC转换器，并将其与电阻负载连接。突出的结果表明，与扰动和观察（P＆O）技术相比，CS具有最佳性能。此外，对于所有测试用例，CS的跟踪效率在150-180毫秒内均高于99.97％。