UPFC抑制电力系统低频振荡的参数优化研究  

Research on Unified Power Flow Controller Parameter Optimization of Low Frequency Oscillation Suppression in Power System

作　　者：肖佳宜 李梓萌[1] 申梦茜 王文文[1] XIAO Jia-yi;LI Zi-meng;SHEN Meng-xi;WANG Wen-wen(College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China)

机构地区：[1]山东科技大学电气与自动化工程学院,山东青岛266590

出　　处：《电工电气》2016年第12期31-35,共5页Electrotechnics Electric

基　　金：中国博士后特别资助基金项目(2015T80729)

摘　　要：为研究统一潮流控制器(UPFC)用于抑制电力系统低频振荡的效果,采用PID控制策略设计了UPFC,并利用遗传算法(GA)和粒子群算法(PSO)分别对UPFC参数进行了优化。对含UPFC的单机无穷大系统进行仿真,仿真结果显示,UPFC对阻尼电力系统低频振荡起到一定的作用,经过参数优化后系统的暂态变短,相关量的波动降低,且粒子群优化算法用于抑制阻尼电力系统低频振荡的效果优于遗传算法。In order to research on the effect of unified power flow controller (UPFC) used for suppressing the low frequency oscillation of electrical power system, this paper adopted the proportion integration differentiation (PID) control strategy to design the UPFC. The genetic algorithm (GA) and the particle swarm optimization(PSO) were used to optimize the parameters of UPFC respectively. The single-machine infinite bus system with UPFC was carried out simulation. The simulation results show that the UPFC plays a role in the damping low frequency oscillation of electrical power system. The system transient state of parameter optimization gets shorter, the fluctuation of correlation quantity gets lower and the effect of particle swarm optimization used for the damping low frequency oscillation of electrical power system is superior to that of GA.

关 键 词：统一潮流控制器 电力系统低频振荡 遗传算法 粒子群算法 单机无穷大系统 

分 类 号：TM712[电气工程—电力系统及自动化]