用修正的差分进化算法确定光电模型参数  

Determining the Parameters of Photovoltaic Modules by a Modified Differential Evolution Algorithm

作　　者：邹德旋[1] 高立群[2] 段纳[1] 

机构地区：[1]江苏师范大学电气工程及自动化学院,徐州221116 [2]东北大学信息科学与工程学院,沈阳110004

出　　处：《电子与信息学报》2014年第10期2521-2525,共5页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61104222);江苏省高校基金(11KJB510026)资助课题

摘　　要：Rs&Rp模型是研究光伏(PhotoVoltaic,PV)器件特性的一种有效的方法,它兼顾了计算复杂性和精度两个方面。在该模型中有5个参数需要确定,它们分别是光电流PVI,二极管饱和电流oI,二极管理想常数a,串联电阻sR和并联电阻pR。为了能找到准确的PV模型参数,该文提出一种修正的差分进化(Modified Differential Evolution,MDE)算法。MDE在变异中使用不同的尺度因子,有助于提高种群的多样性。另外,它在交叉操作中也采用了不同的交叉率,使自身能够轻易地摆脱局部最优点。实验结果表明,MDE算法能够用较少的时间找到准确的Rs&Rp模型参数,使基于MDE算法和Rs&Rp模型的I-V曲线能与实验点相匹配。The Rs＆Rp model is an efficient method which analyzes the characteristic of PhotoVoltaic （PV） device, and it gives consideration to both computational complexity and accuracy. In Rs＆amp;Rp model, five parameters should be determined, and they are photo-current IPV , diode saturation current Io , diode ideality constant a, series resistance sR and parallel resistance Rp , respectively. In order to find accurate parameters of PV models, a Modified Differential Evolution （MDE） algorithm is proposed in this paper. The MDE uses different scale factors in mutation, which is beneficial to improving the diversity of population. In addition, it also adopts different crossover rates in crossover operation, which enables the proposed algorithm itself to get rid of local optimums. Experimental results show that the MDE can find accurate parameters of Rs＆Rp model within a short period of time, which enables the experimental datasets to be well matched by the I-V curves based on the MDE and the Rs＆Rp model.

关 键 词：光伏器件 Rs&Rp模型 修正的差分进化算法 变异 交叉 

分 类 号：TM914[电气工程—电力电子与电力传动] TP391[自动化与计算机技术—计算机应用技术]