电力系统PMU最优配置问题的混合优化算法  

Hybrid algorithm of optimal PMU placement in power systems

作　　者：汪佳[1] 姚建刚[1] 孙谦[1] 张璨辉[2] 李昀[3] 白清贵[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]湖南省电力公司长沙电业局,长沙410015 [3]湖南省电力公司超高压管理局,长沙410014

出　　处：《计算机工程与应用》2013年第3期267-270,共4页Computer Engineering and Applications

基　　金：国家重点产业振兴和技术改造项目(国发改投资[2010]2272)

摘　　要：针对电力系统潮流计算方程直接可解的PMU最优配置问题,提出了一种引入小生境技术的遗传禁忌搜索混合算法。混合优化算法以小生境遗传算法为主体,避免传统遗传算法"早熟"和解的多样性不足的问题;结合禁忌搜索思想,使用TSR算子进行交叉操作,解决传统遗传算法局部搜索能力较差和收敛速度有待提高的问题。用该算法与其他两种传统算法进行了对比验证,结果表明该混合算法不仅能寻得全局最优解,而且提供了解的多样性,提高了优化效率,具有广阔的应用前景。To deal with the concept of direct solvable harmonic power flow with the optimal configuration of PMU, a new algorithm based on niche genetic algorithm and Tabu search is presented. The hybrid optimization algorithm takes niche genetic algorithm for main part, controls prematurity and solves the lack of diversity; uses TSR operator in crossover to improve local search ability and convergence speed. The effectiveness and contrast between the hybrid algorithm and the other two traditional methods are verified. The results show that this hybrid algorithm can find the optimal solution, and provide understanding of the diversity and improve the optimization efficiency, has broad application prospects.

关 键 词：电力系统 同步相量测量单元(PMU) 潮流计算方程 小生境遗传算法 禁忌搜索算法 

分 类 号：TM714[电气工程—电力系统及自动化]