基于峰值计数与参数辨识的光伏组件阴影判定方法

针对光伏组件中阴影难以判定的情况，提出了一种基于峰值计数与参数辨识的光伏组件阴影判别方法。首先，通过可编程直流电子负载对光伏组件I-V输出特性曲线进行全局快速扫描，以记录曲线中明显的多峰值个数；然后采用改进人工鱼群算法(IAFSA)对I-V特性曲线中采样值进行内部等效参数辨识，结合均方根误差(RMSE)进而判断组件中轻微阴影遮挡情况。通过上述两步法可对光伏组件中阴影情况进行有效判定，仿真和实验结果进一步说明了上述方法的有效性和准确性。

Shadow judgment method for photovoltaic module based on peak counting and parameter identification

In allusion to the fact that it is hard to judge the shadow of photovoltaic (PV) module, a shadow judgment method based on peak counting and parameter identification is proposed. Firstly, the I-V output characteristic curve of PV module is scanned globally and quickly through programmable DC electronic load, which is used to record the number of noticeable peaks. Then, an improved artificial fish swarm (IAFSA) is adopted to identify the internal equivalent parameters of PV module by sample values of I-V curve, and combining with the root mean square error (RMSE) to determine the slight shadow of PV module. The shadow condition of PV module can be effectively judged through the two-step method, the experimental results further demonstrate the effectiveness and accuracy of this method. This work is supported by Innovation Project of Postgraduate Education of Jiangsu Province (No. CXZZ12_0228).