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考虑投资收益比的UPFC选址与定容算法优化
引用本文:牛运腾,张福民,魏永磊,王静茹,刘国鑫.考虑投资收益比的UPFC选址与定容算法优化[J].陕西电力,2020,0(5):111-118.
作者姓名:牛运腾  张福民  魏永磊  王静茹  刘国鑫
作者单位:(河北工业大学 电气工程学院,天津 300130)
摘    要:为提高在已有输配电网络加装统一潮流控制器的经济收益,对统一潮流控制器的选址与定容算法进行优化。以有功潮流性能指数结合电压稳定性指标确定统一潮流控制器的最优安装位置,以经济收益为目标建立统一潮流控制器安装容量与经济收益的函数方程,采用粒子群算法对其求解计算,通过绘制曲线分析得出统一潮流控制器的最优安装容量和最高经济收益。在IEEE14节点系统中与遗传算法进行比较验证,证实了该方法的高效性。

关 键 词:统一潮流控制器  有功潮流性能指数  粒子群算法  选址和定容

Optimization of UPFC Site Selection & Capacity Determination Algorithm Considering Return of Investment Ratio
NIU Yunteng,ZHANG Fumin,WEI Yonglei,WANG Jingru,LIU Guoxin.Optimization of UPFC Site Selection & Capacity Determination Algorithm Considering Return of Investment Ratio[J].Shanxi Electric Power,2020,0(5):111-118.
Authors:NIU Yunteng  ZHANG Fumin  WEI Yonglei  WANG Jingru  LIU Guoxin
Affiliation:(School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China)
Abstract:In order to improve the economic benefits of installing a unified power flow controller (UPFC) in the existing transmission and distribution network, the site selection and capacity determination algorithm of UFPC is optimized. The active power flow performance index and the voltage stability index are used to determine the optimal installation position of UFPC. With the economic benefits as the goal, a function equation for the installation capacity and economic benefits of UFPC is established. The particle swarm optimization algorithm is used to solve the equation. The optimal installation capacity and the highest economic benefit of UFPC are obtained by plotting the curve analysis. Compared with genetic algorithm in IEEE 14-node system, the efficiency of the method is verified.
Keywords:UPFC  active power flow performance index  particle swarm optimization  site selection and capacity determination
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