Partial Shading Impact on PV Array System and the Hard-Shading Location with BP Algorithm

Wei Yin, Qinyi Tong, Yang Xu, Yong Zhang, Yongzhi Zhou
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引用次数: 8

Abstract

As an important renewable energy source in microgrid, photovoltaic (PV) generation has developed rapidly recently because of the merits of high flexibility and expansibility. But the partial shading from the trees, buildings or clouds easily appears in the large-area PV array system. In this paper, the partial shading impact on the PV array system is analyzed, and the results show that it will reduce the whole output power generation and the hard-shading fault will damage the stability of the PV system. In addition, it is analyzed that the parallel connection is much more advantageous than the series topology in partial shading situation, thus it is advised that the parallel connection should be adopted when the series voltage meet the requirement. Secondly, the hard-shading detection based on voltage sensor configuration is proposed and the hard-shading fault characteristics quantity is analyzed. Thirdly, according to the abovementioned fault feature, the backpropagation (BP) algorithm is adopted to locate the faulty position. Finally, the model is constructed in Matlab/Simulink circumstance to verify the analysis and the data is collected to verify the BP algorithm.
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局部遮阳对光伏阵列系统的影响及BP算法的硬遮阳定位
光伏发电作为微电网中重要的可再生能源,由于其高灵活性和可扩展性等优点,近年来发展迅速。但在大面积光伏阵列系统中,容易出现树木、建筑物或云层的部分遮阳。本文分析了部分遮阳对光伏阵列系统的影响,结果表明,部分遮阳会降低整体输出发电量,硬遮阳故障会破坏光伏系统的稳定性。此外,分析了在部分遮阳情况下并联比串联拓扑更有利,建议在串联电压满足要求时采用并联。其次,提出了基于电压传感器配置的硬遮阳检测方法,分析了硬遮阳故障特征量;第三,根据上述故障特征,采用反向传播(BP)算法定位故障位置。最后,在Matlab/Simulink环境下构建模型验证分析结果,并采集数据验证BP算法。
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