A GMPPT Algorithm for PV Systems Using Current Reference and P-I Curve Under Partial Shading Conditions

Sivacharan Reddy Devireddy, S. Porpandiselvi, Bhavin Salvi
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引用次数: 1

Abstract

Photo-voltaic (PV) system has non-linear relation between its output power and operating voltage. It is desired to extract maximum power from the PV system i.e. by operating at maximum power point all the time. Under partial shading conditions, the conventional maximum power point tracking algorithms can’t detect the global peak. A most efficient global maximum power point tracking (GMPPT) technique with less tracking time is required when the change in shading is more rapid. In this paper, a novel GMPPT algorithm is proposed which tracks the global peak using P-I curve, PV curve and I-V curve of the PV system taking current as reference. As the PV current varies with irradiation, the tracking time for the proposed algorithm is low under shading conditions. The tracking time is minimized by calculating $I_{min}$ and $V_{min}$. The knee point regions are estimated by detecting the change in voltage at every iteration. Each knee point region will have one peak point. The regions where global peak does not exist is discarded by adopting a novel current skipping technique. These techniques reduces the tracking time. MATLAB Simulink is used to evaluate the performance of the proposed algorithm for different shading patterns and the results shows that tracking time is less.
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部分遮阳条件下基于电流参考和P-I曲线的PV系统GMPPT算法
光伏系统的输出功率与工作电压之间存在非线性关系。期望从光伏系统中提取最大功率,即始终以最大功率点运行。在部分遮阳条件下,传统的最大功率点跟踪算法无法检测到全局峰值。当阴影变化较快时,需要一种最有效的全局最大功率点跟踪(GMPPT)技术,该技术需要较少的跟踪时间。本文提出了一种新的GMPPT算法,该算法以电流为参考,利用PV系统的P-I曲线、PV曲线和I-V曲线来跟踪全局峰值。由于PV电流随照射量的变化而变化,在遮阳条件下,该算法的跟踪时间较短。通过计算$I_{min}$和$V_{min}$来最小化跟踪时间。通过检测每次迭代的电压变化来估计拐点区域。每个膝点区域将有一个峰值点。采用一种新颖的电流跳变技术,去掉了不存在全局峰值的区域。这些技术减少了跟踪时间。利用MATLAB Simulink对不同遮光模式下所提算法的性能进行了评价,结果表明所提算法的跟踪时间较短。
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