摘要
构建了考虑维持母线电压稳定、降低损耗以及节约补偿容量的多目标超高压变电站动态无功补偿容量优化配置模型,借助于量子遗传算法对各主要运行方式下超高压变电站动态无功补偿最优容量需求进行了优化求解,并确定了超高压变电站动态无功补偿容量优化配置方案。
A multi-objective optimal installation model on EHV substation′s dynamic reactive power compensation capacity is established with bus voltage stability maintenance,power loss reduction and compensation capacity saving considered.EHV substation′s dynamic reactive power compensation capacity demand under each main operation mode is optimally resolved through quantum genetic algorithm and its optimal installation scheme is determined.
出处
《华东电力》
北大核心
2013年第1期92-96,共5页
East China Electric Power
基金
国家自然基金项目(70971038)~~
关键词
超高压变电站
动态无功补偿
静止无功补偿器
量子遗传算法
EHV substation
dynamic reactive power compensation
static var compensator
quantum genetic algorithm
