电力系统及其自动化学报2017，Vol.29Issue(1)：58-62,5.DOI:10.3969/j.issn.1003-8930.2017.01.010
基于蒙特卡罗抽样半不变量法的微电网随机潮流计算
Calculation of Probabilistic Load Flow in Microgrid Based on Monte Carlo Sampling and Cumulant Method
摘要
Abstract
To improve the calculation accuracy of probabilistic load flow in microgrid,a combination of Monte Carlo simulation and Cumulant method is proposed. First,the liner model of probabilistic load flow is established,then Monte Carlo sampling method and conventional numerical method are used to calculate each cumulant of the probabilistic vari⁃able. Second,the cumulant of the node state variables and branch current is calculated,and it is further resolved by Gram-Charlier expansions. Finally,the probability distribution of cumulant is obtained. A case study shows that com⁃pared with Monte Carlo simulation,the proposed method is reliable and rapid,which can provide reference for electrical dispatching.关键词
微电网/随机潮流/半不变量法/蒙特卡罗抽样Key words
microgrid/probabilistic load flow/Cumulant method/Monte Carlo sampling分类
信息技术与安全科学引用本文复制引用
张惠娟,冯垚,高建森,黄凯..基于蒙特卡罗抽样半不变量法的微电网随机潮流计算[J].电力系统及其自动化学报,2017,29(1):58-62,5.基金项目
河北省科技支撑计划资助项目（13212104，13214604D）；天津市高等学校科技发展基金计划资助项目 （）
