Overview the Approaches for Maximum Power Point of Photovoltaic Arrays in partially Shaded Environment*

Jinping Zhang, Qiang Zhou, Jin Li, Long Zhao, Dingmei Wang, Lijuan Liu
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引用次数: 3

Abstract

Due to the partial shade condition,the photovoltaic (PV) array output characteristics are different from normal condition.As shown in this paper,the output P-V characteristic curve will show multiple power peaks and the position of the maximum power point(MPP) appears uncertainly.In this case, the tradition methods such as constant voltage, perturb & observe algorithms, incremental conductance are difficult to accurately track the MPP in partially shaded environment.This paper summarizes and analyzes the research status of maximum power point tracking (MPPT) technology.Then on the base of these, the current literature about MPPT technology are divided into three categories:optimizing the PV array structure,traditional twostage improved algorithm and the intelligent control strategy such as swarm intelligence, artificial neural network technique,fuzzy-MPPT control method.Comparatively, the intelligent algorithms show excellent tracking performance. As the research on MPPT techniques is ongoing work.Finally,the issues that need to be further concerned with MPPT under the shadow condition in the future are discussed.
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部分荫蔽环境下光伏阵列最大功率点方法综述*
由于部分遮阳状态,光伏阵列的输出特性与正常状态不同。如本文所示,输出P-V特性曲线会出现多个功率峰值,最大功率点(MPP)的位置出现不确定性。在这种情况下,传统的恒压、摄动&观测算法、增量电导等方法难以准确跟踪部分阴影环境下的MPP。对最大功率点跟踪(MPPT)技术的研究现状进行了总结和分析。然后在此基础上,将目前关于MPPT技术的文献分为三类:优化光伏阵列结构、传统的两阶段改进算法和智能控制策略,如群体智能、人工神经网络技术、模糊-MPPT控制方法。相比之下,智能算法表现出优异的跟踪性能。由于MPPT技术的研究正在进行中。最后,讨论了未来在阴影条件下MPPT需要进一步关注的问题。
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