Maximum Power Point Extraction in PV Array Under Partial Shading Conditions Using GWO-Assisted Beta Method

Maykon Vichoski da Rocha, L. P. Sampaio, S. D. Silva
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引用次数: 7

Abstract

This paper presents a hybrid maximum power point tracking (MPPT) algorithm, which combines the grey wolf optimization (GWO) technique and Beta method for extraction of maximum power from a photovoltaic (PV) system operating under partial shading conditions. The proposed algorithm named GWO-Beta-based MPPT uses the GWO technique to achieve the global maximum power point (GMPP), while, simultaneously, the MPPT reference using Beta method is calculated according to the PV voltage and current at GMPP. After that, the MPPT algorithm is switched to operate only with the Beta method that keeps tracked on the MPP reference, guarantying the GMPP in that specific operation point. By means of computational simulation results, the performance of the proposed MPPT algorithm is evaluated taking into account the convergence speed and power oscillations to achieve the GMPP.
基于gwo辅助Beta方法的部分遮阳条件下光伏阵列最大功率点提取
提出了一种混合最大功率点跟踪(MPPT)算法,该算法将灰狼优化(GWO)技术与Beta方法相结合,用于提取部分遮阳条件下光伏系统的最大功率。本文提出的基于GWO-Beta的MPPT算法利用GWO技术实现全局最大功率点(GMPP),同时根据GMPP处的PV电压和电流,利用Beta方法计算MPPT参考值。之后,将MPPT算法切换为只使用跟踪MPP参考的Beta方法运行,保证了该特定运行点的GMPP。通过计算仿真结果,综合考虑了算法的收敛速度和实现GMPP的功率振荡,对该算法的性能进行了评价。
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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