电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2014年
10期
2521-2525
,共5页
光伏器件%Rs&Rp模型%修正的差分进化算法%变异%交叉
光伏器件%Rs&Rp模型%脩正的差分進化算法%變異%交扠
광복기건%Rs&Rp모형%수정적차분진화산법%변이%교차
Photo Voltaic (PV) device%Rs&Rp model%Modified Differential Evolution (MDE) algorithm%Mutation%Crossover
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IPV ,二极管饱和电流Io ,二极管理想常数a,串联电阻Rs 和并联电阻Rp 。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。
Rs&Rp模型是研究光伏(PhotoVoltaic, PV)器件特性的一種有效的方法,它兼顧瞭計算複雜性和精度兩箇方麵。在該模型中有5箇參數需要確定,它們分彆是光電流IPV ,二極管飽和電流Io ,二極管理想常數a,串聯電阻Rs 和併聯電阻Rp 。為瞭能找到準確的 PV 模型參數,該文提齣一種脩正的差分進化(Modified Differential Evolution, MDE)算法。MDE 在變異中使用不同的呎度因子,有助于提高種群的多樣性。另外,它在交扠操作中也採用瞭不同的交扠率,使自身能夠輕易地襬脫跼部最優點。實驗結果錶明,MDE算法能夠用較少的時間找到準確的Rs&Rp模型參數,使基于MDE算法和Rs&Rp模型的I-V麯線能與實驗點相匹配。
Rs&Rp모형시연구광복(PhotoVoltaic, PV)기건특성적일충유효적방법,타겸고료계산복잡성화정도량개방면。재해모형중유5개삼수수요학정,타문분별시광전류IPV ,이겁관포화전류Io ,이겁관이상상수a,천련전조Rs 화병련전조Rp 。위료능조도준학적 PV 모형삼수,해문제출일충수정적차분진화(Modified Differential Evolution, MDE)산법。MDE 재변이중사용불동적척도인자,유조우제고충군적다양성。령외,타재교차조작중야채용료불동적교차솔,사자신능구경역지파탈국부최우점。실험결과표명,MDE산법능구용교소적시간조도준학적Rs&Rp모형삼수,사기우MDE산법화Rs&Rp모형적I-V곡선능여실험점상필배。
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&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.