An Intelligent Fuzzy Controller for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

Liang Zhou, Zhenxing Wu, Guangsen Wang, Meina Wu
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引用次数: 1

Abstract

This study presents an intelligent fuzzy controller for maximum power point tracking (MPPT) in partially shaded photovoltaic (PV) systems. Conventional MPPT methods may fail to track the actual maximum power point under partially shaded conditions, because multiple local peaks can be existed on the power-voltage characteristic curve. The model of the PV system is analyzed in detail. Then the novel MPPT controller including a fuzzy logic control and an intelligent scanning method is proposed. The excellent performance of the proposed MPPT algorithm is verified by simulation results.
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部分遮阳光伏系统最大功率跟踪的智能模糊控制器
针对部分遮阳光伏系统的最大功率点跟踪问题,提出了一种智能模糊控制器。在部分阴影条件下,由于功率-电压特性曲线上可能存在多个局部峰值,传统的MPPT方法可能无法跟踪实际最大功率点。对光伏系统的模型进行了详细的分析。然后提出了一种包含模糊逻辑控制和智能扫描方法的新型MPPT控制器。仿真结果验证了该算法的优良性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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