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UPFC抑制电力系统低频振荡的参数优化研究
引用本文:肖佳宜,李梓萌,申梦茜,王文文.UPFC抑制电力系统低频振荡的参数优化研究[J].江苏电器,2016(12):31-35.
作者姓名:肖佳宜  李梓萌  申梦茜  王文文
作者单位:山东科技大学 电气与自动化工程学院,山东 青岛,266590
基金项目: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。

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

Research on Unified Power Flow Controller Parameter Optimization of Low Frequency Oscillation Suppression in Power System
Abstract:In order to research on the effect of unified power flow controller (UPFC) used for suppressing the low frequency oscillation of elec-trical 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.
Keywords:unified power flow controller  power system low frequency oscillation  genetic algorithm  particle swarm optimization  sin-gle-machine infinite bus system
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