基于峰值计数与参数辨识的光伏组件阴影判定方法  

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

作　　者：陈凌[1] 韩伟[2] 张经炜[1] 

机构地区：[1]河海大学能源与电气学院,江苏南京211100 [2]国网淮安供电公司,江苏淮安223001

出　　处：《电力系统保护与控制》2016年第23期125-132,共8页Power System Protection and Control

基　　金：江苏省研究生培养创新工程(CXZZ12_0228)~~

摘　　要：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。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 n^imber 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.

关 键 词：光伏组件 阴影 可编程直流电子负载 峰值计数 改进人工鱼群算法 参数辨识 

分 类 号：TM615[电气工程—电力系统及自动化]