一种新的串并联部分阴影光伏阵列GMPP估计技术

Shashank Kumar , Sisir Kumar Nayak , Himanshu Sekhar Sahu
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引用次数: 0

摘要

本文提出了一种新的光伏阵列广义模型、电路方程及其在部分遮光条件下的全局最大功率点(GMPP)估计算法。提出了一种基于集合论的方法来建立部分遮光条件下串并联光伏配置广义模型中串和阵列的电压和电流方程。此外,基于局部最大功率点(LMPP)的一般观测特性,导出了迭代电压的数学表达式。所提出的GMPP估计算法通过同时消除阵列功率-电压曲线的非电势部分和子部分而快速收敛。通过考虑2000 no。MATLAB为两个不同的光伏阵列生成的随机阴影图案。在GMPP估计的准确性和计算时间方面与其他现有方法的比较表明了所提出方法的竞争力。在实验室中对所提出的方法进行了实验验证。仿真和实验结果表明,所提出的PSC下光伏阵列GMPP估计方法是更好的,将有助于光伏专业人员。
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A novel GMPP estimation technique for series parallel connected partially shaded PV array

This paper presents a novel generalized model of the PV array, its circuit equation and an algorithm for its global maximum power point (GMPP) estimation in partial shading condition (PSC). A set theory based approach is proposed to develop equations in terms of voltage and current of strings and array of the generalized model of series parallel PV configuration under partial shading condition. Further, a mathematical expression for the iteration voltage is derived based on a generally observed property of local maximum power point (LMPP). The proposed GMPP estimation algorithm converges fast by simultaneous elimination of non-potential sections and subsections of the power-voltage curve of an array. Robustness of the proposed method for GMPP estimation is tested by considering 2000 no. of random shading patterns generated by MATLAB for two different PV array. Comparisons with the other existing methods in terms of accuracy and computational time of the GMPP estimation show the competitiveness of the proposed method. Experimental validation of the proposed method is carried out in the laboratory. The simulation and experimental results show that the proposed method for the GMPP estimation of a PV array under PSC is better and will be helpful for PV professionals.

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