全球MPPT算法的性能-简要概述和案例研究

Ioan Cristian Hoarca, N. Bizon
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引用次数: 4

摘要

本文概述了全局最大功率点跟踪(GMPPT)算法,给出了它们的分类和实例分析。在第一个案例研究中,对基于一个带通滤波器的基于摄动的极值寻优控制(PESC)方案的GMPPT算法(命名为G1PESC方案)和基于两个带通滤波器的基于PESC方案的GMPPT算法(命名为g2pesc方案)进行了仿真。对比分析表明,两种方案的性能基本一致,搜索时间为0.2秒,跟踪精度为99.9%。对于第二个案例研究,比较了g1pesc方案和Perturb and Observe (P&O)算法所获得的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of the Global MPPT Algorithms — A brief overview and case studies
In this paper a general presentation of the global maximum power point tracking (GMPPT) algorithms, their classification and case studies are shown. In the first case study, the simulation of the GMPPT algorithm using perturbed-based extremum seeking control (PESC) scheme based on a band pass filter (named G1PESC scheme), and the GMPPT algorithm using PESC scheme based on two band pass filter (named G2PESCscheme) is performed. The comparative analysis of the two schemes shows that their performances are almost similar: search time of 0.2 seconds and tracking accuracy of 99,9%. For the second case study, the performances obtained with the G1PESCscheme and Perturb and Observe (P&O) algorithm is compared.
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