基于智能计算的多FACTS协调配置  

Intelligent Computation Based Coordinated Configuration of Multi-FACTS Devices

作　　者：黄柳强[1] 郭剑波[1] 孙华东[1] 易俊[1] 刘敏[1] 

机构地区：[1]中国电力科学研究院,北京市海淀区100192

出　　处：《电网技术》2013年第4期942-946,共5页Power System Technology

基　　金："十二五"国家科技支撑计划重大项目(2011BAA01B02)~~

摘　　要：灵活交流输电(flexibleAC transmission system,FACTS)装置在电力系统中应用广泛,但通常各台FACTS设备都是针对本地量和各自目标进行参数整定。为了更大程度地发挥FACTS效用,消除潜在的不利交互影响,有必要对多FACTS进行参数的协调配置。文中首先采用小波变换分析了协调配置的必要性,结合改进的多目标量子遗传算法和极限学习机提出了多FACTS协调配置算法,最后在装设有TCSC和SVC的算例中进行仿真,验证了所提算法的有效性。Flexible AC transmission system （FACTS） devices are widely applied in power grids, however the parameters of each FACTS device are set according to local variables and respective objectives. To make FACTS devices playing a greater role and eliminate potential adverse impacts, it is necessary to carry out coordinated parameters configuration among multi-FACTS devices. Firstly, the necessity of adopting coordinated configuration of muRi-FACTS devices is analyzed by wavelet transform; then based on the improved multi-objective quantum genetic algorithm and extreme learning machine, an algorithm for coordinated configuration of multi-FACTS devices is proposed; finally the simulation of a 4-machine, 2-area system with static var compensator （SVC） and thyristor controlled series capacitor （TCSC） is performed to verify the effectiveness of the proposed algorithm

关 键 词：灵活交流输电系统 量子遗传算法 极限学习机 多目标 协调 优化 

分 类 号：TM721[电气工程—电力系统及自动化]