基于传感器最优布置的光伏阵列阴影诊断与定位

SHADOW DIAGNOSIS AND LOCALIZATION OF PV ARRAY BASED ON OPTIMAL SENSOR COLLOCATION

基于太阳电池典型数学模型，分析光伏阵列中某块太阳电池被阴影遮蔽时，阵列所有太阳电池输出电压和电流的变化情况，并由此提出一种通过单刀多掷模拟开关与电压传感器配合使用的光伏阵列阴影定位法。该方法不仅可避免带电测量线路的交叉，而且能通过增加布线复杂度从而成倍地减少电压传感器的数量。根据PSCAD仿真得到的数据，利用BP神经网络对该方法的可行性进行验证，结果表明该方法可准确进行故障定位。

Based on the typical mathematical model of solar cell, the change of the output voltage and current of all solar cells in the solar PV array were analyzed when one of solar cells was covered by shadow. And then a shadow positioning method of PV array using single-pole multi-throw analog switch and voltage sensor was proposed. This method not only can avoid the cross of live measuring circuit, but also can reduce the number of voltage sensor through increasing the wiring complexity. The feasibility of the method was verified by using BP neural network according to the data obtained from PSCAD simulation. The results showed that the method can accurately locate the fault.