一种配电网无功源等微量补偿动态优化算法  

A Dynamic Optimization Algorithm by Equal Micro-compensation of Reactive Power Sources in Distribution Network

作　　者：田金虎[1] 马超[2] 赵俊光[1] 祁玉栋 

机构地区：[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆400030 [2]甘肃电力科学研究院,甘肃兰州730000 [3]四川省超高压运行检修公司,四川成都610041

出　　处：《陕西电力》2010年第1期6-10,共5页Shanxi Electric Power

基　　金：科学技术部科技型企业技术创新基金[06C26225110507]

摘　　要：采用一种全新的动态等微量补偿优化搜索算法以确定配电网络中无功电容器安装的位置和数量。该方法按照节点动态最大补偿效益灵敏度的降序搜索顺序,对网络逐代候选节点集合中各点作动态等微量补偿,并进行逐代补偿效益累计评估,最后确定待补偿点位置及数量。在优化后期,结合自适应遗传算法并作了改进,采用非等概率配对交叉策略和育种算子变异机制,可促使算法趋向全局收敛。配电网28节点算例优化结果证明了该方法的优越性与可行性。According to the descending search order of node dynamic sensitivity of the maximum compensation benefits, the candidate nodes are equally micro-compensated dynamically and the compensation benefits are assessed accumulatively to decide the locations and nmnbers of pending compensation nodes. In the later period of optimization, an improved adaptive genetic algorithm is used to promote global convergence of algorithms, such as non-equal probability cross-matching strategy and breeding operator variability mechanism. The superiority and feasibility of the method is proved by the optimization results of 28-node distribution network.

关 键 词：配电网 无功规划优化 微量补偿 非等概率配对 育种算子 

分 类 号：TM761[电气工程—电力系统及自动化]