改进的等值电力系统综合负荷模型研究  

A Kind of Load Model Including Network Equivalence Using an Evolutionary Computation Technique

作　　者：魏旭锋[1] 韩肖清[1] 孟辉[1] 张伟[1] 林霞[1] 

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024

出　　处：《太原理工大学学报》2006年第2期176-179,共4页Journal of Taiyuan University of Technology

基　　金：山西省科技攻关资助项目(052028)

摘　　要：在分析了以往负荷模型的基础上,采用了一种新的电力系统等值综合负荷模型。在对等值综合负荷模型参数进行辨识时,采用了“改进的自适应遗传算法”,该算法有效地改善了“自适应遗传算法”中高适应值和高适应值个体、高适应值和低适应值个体之间的交叉概率降低,以及进化中后期群体突变概率显著降低的缺陷。实例分析表明,该负荷模型可以较好地反映实际负荷在小干扰情况下的暂态效应,可以应用于电压稳定性暂态分析。Based on analyzing former load models used in the research of power systems, a new kind of load model is presented in this paper. It can improve the disadvantage existed in self- adaptive genetic algorithm, which leads to the decrease of cross probability between individuals with high value of fitness and individuals with low value of fitness, and the decrease of mutation probability at the last stage of evolution. At last, a example is used to test the model and improved evolutionary computation technique. It is shown that the model can reflect reactions of actual loads on condition of small disturb, and it can be used to analyze the voltage stability of power systems.

关 键 词：遗传算法 电力系统 负荷模型 

分 类 号：TM743[电气工程—电力系统及自动化]