复杂遮阳条件下基于复合梯形规则的光伏系统最大功率点跟踪算法

Altwallbah Neda Mahmod Mohammad, Mohd Amran Mohd Radzi, N. Azis, S. Shafie, Muhammad Ammirrul Atiqi Mohd
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引用次数: 0

摘要

由于易受天气条件的影响,特别是在部分遮阳条件下(PSCs),光伏(PV)系统最大可用功率的有效提取可能会恶化。本文提出了一种鲁棒的最大功率点跟踪(MPPT)算法,该算法能够在任何级别的PSC下高效、准确、快速地工作,且不增加复杂性。该算法基于梯形面积估计概念,结合自适应步长摄动与观测(P&O)算法,采用复合梯形规则定位实际最大功率。选择了复杂的PSC水平,以保证建议的算法在任何阴影水平下执行的有效性。仿真结果验证了该算法在三种复杂PSCs情况下的有效性,并与传统的扰动与观测(P&O)和增量电导(IC) MPPT算法的性能进行了比较。结果表明,该算法是成功的,克服了传统算法在全局最大功率点(GMPP)下寻找实际最大功率的缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Composite Trapezoidal Rule-based maximum power point tracking algorithm for photovoltaic systems under complex shading conditions
Efficient extraction of maximum available power from photovoltaic (PV) systems can be deteriorated due to the vulnerability to weather conditions, especially, under partial shading conditions (PSCs). This paper presents a robust maximum power point tracking (MPPT) algorithm which is able to work under any level of PSC efficiently, accurately, rapidly and with no increase in complexity. The proposed algorithm employs the composite trapezoidal rule to locate the actual maximum power based on trapezoidal area estimation concept, with the assist of adaptable step size perturbation and observation (P&O) algorithm. Complex PSC levels have been chosen to guarantee the validity of the suggested algorithm to perform under any shading level. The simulation results approve the effectivity of the algorithm under three various cases of complex PSCs, and compared with performance of the conventional Perturbation and Observation (P&O) and Incremental Conductance (IC) MPPT algorithms. The results indicate the success of the proposed algorithm, and the weakness of the conventional algorithms in seeking the actual maximum power under PSC which is the global maximum power point (GMPP).
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