基于小生境遗传优化算法的配电网无功优化  

Reactive Power Optimization of Distribution Network Based on Niche Genetic Algorithm

作　　者：宋佳航[1] 孟涛[2] 张海峰[2] 刘亚东[2] 罗锋[3] SONG Jia-hang MENG Tao ZHANG Hai-feng LIU Ya-dong LUO Feng(Shenyang Power Supply Company of State Grid, Shenyang, 110021, China Electric Power Research Institute, State Grid Jilin Electric Power Co. , Ltd. , Changchun 130021, China Yingkou Electric Power Supply Company, Liaoning Electric Power Supply Company Limited, Yingkou 115000, China)

机构地区：[1]国网沈阳供电公司,辽宁沈阳110021 [2]国网吉林省电力有限公司电力科学研究院,吉林长春130021 [3]国网辽宁省电力有限公司营口供电公司,辽宁营口115000

出　　处：《电气开关》2017年第4期63-66,共4页Electric Switchgear

摘　　要：研究配电网无功优化的问题,提出一种改进的支路追加法,以提高潮流计算过程中的收敛性。建立考虑系统网络损耗的电容器组配电网无功优化数学模型,针对传统遗传算法在处理高纬复杂变量优化问题上的缺陷,结合小生境技术的优势,提出一种改进的小生境遗传优化算法求解无功优化模型。IEEE-33节点测试系统仿真结果表明:本文的模型简单有效,在无功优化的过程中,采用本文的支路追加法和传统牛顿法进行目标函数计算获得的结果相同,可以有效地降低无功优化中网络损耗并保证电压质量。The question of reactive power optimization is researched in this paper,and an improved branch supplemen- tary method is put forward to improve the convergence in the process of power flow calculation. Considering the network loss of power grid, and an reactive power optimization mathematical model is established. In view of the defect of treating of high latitude and complex variable optimization problem of traditional genetic algorithm, and an improved niche genetic algorithm is established to solve this model. The result of IEEE - 33 node system show that the p and effective. The results of objective functions calculation obtained by adding brands method and Newton method was same in reactive power optimization process, effectively reduced the reactive power optimization network losses and ensure voltage quality.

关 键 词：配电网 无功优化 支路追加法 小生境遗传算法 

分 类 号：TM72[电气工程—电力系统及自动化]