提高系统无功备用容量的多目标无功补偿规划  

Multi-objective Reactive Power Compensation Planning Based on Improving System Reactive Power Reserve Capacity

作　　者：熊虎岗[1] 程浩忠[2] 张节谭[2] 钟明明[2] 

机构地区：[1]杭州市电力局变检工区,杭州310016 [2]上海交通大学电气工程系,上海200240

出　　处：《高电压技术》2008年第2期309-313,318,共6页High Voltage Engineering

基　　金：上海市重点科技攻关计划项目(041612012)~~

摘　　要：系统的无功备用容量越大,其电压稳定裕度越大,为此提出了提高系统无功备用容量的多目标无功补偿规划。在系统无功备用容量定义基础上,推导出各负荷节点无功补偿对于提高系统无功备用容量的灵敏度和降低有功损耗的灵敏度,并将综合灵敏度大的负荷节点作为候选无功补偿点;提出了多目标优化的自适应免疫算法,以其提高系统无功备用容量的多目标无功补偿规划优化求解,且在IEEE-30节点系统中分析补偿前后系统电压稳定裕度。将补偿后的相关指标与普通的免疫算法所得指标比较的结果表明,所提方法正确可行。The larger the system reactive power reserve capacity is, the bigger the system voltage stability margin is, so multi objective reactive power compensation planning to improve the system reactive power reserve is proposed. Based on the definition of the system reactive power reserve capacity, the buses＇ sensitivity to improve the system reactive power reserve capacity and to reduce the system active power are deduced, and the buses with high synthesis sensitivity （the former two sensitivity products） are selected as the candidate compensation buses. The multi-objec- tive optimization Auto Adapted Immune Algorithm（AAIA） is proposed and used to optimize the multi-objective reactive power compensation planning to reduce the reactive power compensation equipment investment, the network active power loss and the buses’ voltage deviation, and to maximize the system reactive power reserve capacity. The candidate buses capacity is the buses reactive power compensation capacity. This thought is used in the IEEE-30 buses system： the voltage stability margin is analyzed before and after the system is compensated, at the same time, some main indexes are compared with common IA, the results show that both the thought and AAIA are feasible.

关 键 词：无功补偿规划 系统无功备用容量 自适应免疫算法 综合灵敏度 无功补偿节点 电压稳定 

分 类 号：TM715[电气工程—电力系统及自动化]