电力系统及其自动化学报2016，Vol.28Issue(12)：26-30,5.DOI:10.3969/j.issn.1003-8930.2016.12.005
电压暂降随机预估的非序贯蒙特卡罗方法研究
Research on Random Estimation of Voltage Sags Based on Nonsequential Monte Carlo Method
摘要
Abstract
Since Monte Carlo method suffers from low computation efficiency and long time consumption in the random estimation of voltage sags,this paper presents a random estimation method based on nonsequential Monte Carlo meth⁃od. A mathematical model of state variables in the fault of voltage sags is built,and an IEEE 9-node test system model is established in Matlab/Simulink,which obtains the state variables of the fault model. The probability distribution of the amplitude of voltage sags is analyzed,and the indices of voltage sags are simulated by nonsequential Monte Carlo and Monte Carlo methods respectively. The results of the IEEE 9-node test system show that compared with Monte Carlo method,the proposed method improves the convergence,computation speed and stability obviously.关键词
电压暂降/随机预估/非序贯蒙特卡罗法/故障状态变量Key words
voltage sag/random estimation/nonsequential Monte Carlo method/fault state variable分类
信息技术与安全科学引用本文复制引用
陈伟,王玲,王丹,郝晓弘..电压暂降随机预估的非序贯蒙特卡罗方法研究[J].电力系统及其自动化学报,2016,28(12):26-30,5.基金项目
国家自然科学基金资助项目（51267012，51467009）；甘肃省科技支撑工业计划资助项目 （）
