Evaluation of MPPT Algorithms for PV System under Partial Shading Conditions

D. Shetty, N. Jayalakshmi, M. Arjun, Poojashree Hebbar
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Abstract

The harmful impacts of fossil fuels have made us adopt renewable energy sources which do not replenish upon more usage. The renewable energy sources like solar PV system provide many benefits, including green and clean energy. At the same time, solar PV panels suffer from low output power when subjected to partial shading. Several Maximum Power Point Tracking (MPPT) algorithms have been proposed in the literature to tackle this problem. Choosing an appropriate algorithm to track the maximum power point is of paramount importance as it improves the efficiency of the PV system by a significant margin. This paper focuses on evaluating and comparing various MPPT algorithms that fall under different categories such as conventional, soft computing and hybrid methods. These algorithms are simulated and tested on a partially shaded PV system for various performance parameters in MATLAB/Simulink environment.
部分遮阳条件下光伏系统MPPT算法的评价
化石燃料的有害影响使我们采用可再生能源,这种能源在更多的使用时不会补充。像太阳能光伏系统这样的可再生能源提供了许多好处,包括绿色和清洁能源。同时,太阳能光伏板在局部遮阳时输出功率较低。为了解决这个问题,文献中提出了几种最大功率点跟踪(MPPT)算法。选择合适的算法来跟踪最大功率点是至关重要的,因为它可以显著提高光伏系统的效率。本文重点对传统、软计算和混合算法等不同类别的MPPT算法进行了评价和比较。在MATLAB/Simulink环境下,对这些算法在部分遮阳光伏系统上的各种性能参数进行了仿真和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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