改进小生境遗传算法在电力系统无功优化中的应用  

Application of Improved Niche Genetic Algorithm in Reactive Power Optimization

作　　者：李惠玲[1] 盛万兴[1] 张学仁[2] 孟晓丽[1] 

机构地区：[1]中国电力科学研究院,北京市海淀区100192 [2]临朐县供电公司,山东省潍坊市262600

出　　处：《电网技术》2008年第17期29-34,共6页Power System Technology

基　　金：“十一五”国家科技支撑计划重点项目(2006BAJ04B06);国家电网公司资助项目(SGKJ[2007]82)。~~

摘　　要：利用改进小生境遗传算法进行了电力系统无功优化计算。算法主要做了以下改进:设置个体之间的距离判别标准L为动态函数,保持了群体的多样性;采用最优保存策略保证算法的收敛性;采用局部最优徘徊策略作为辅助终止原则,避免陷入局部最优情况。对IEEE30节点算例系统进行了无功优化,并对优化前后各项技术性能指标进行了分析,说明了改进小生境遗传算法在保持解的多样性、提高搜索效率和优化效果等方面都具有良好的性能。对某县级配电网进行了仿真计算,仿真结果证明了所提算法的有效性。In this paper the power system reactive power optimization by improved niche genetic algorithm （NGA） is proposed. The improvements of NGA are as following： the discriminating standard L for distances among individuals set as dynamic function to keep the diversity of colonies; the elitist strategy is adopted to ensure the convergence of the algorithm; the circling strategy of local extreme values is used as auxiliary termination principle to avoid falling into local optima. The optimization of IEEE 30-bus system is performed, and each technical performance index before and after the optimization are analyzed to illustrate the good performances of improved NGA in keeping the diversity of solution, improving efficiency and optimization effect. As a case study, the reactive power optimization for a county distribution network is calculated to verify the practicability of the proposed algorithm.

关 键 词：电力系统 无功优化 改进小生境遗传算法 动态距离判别标准 最优保存策略 局部最优徘徊策略 

分 类 号：TM712[电气工程—电力系统及自动化]