中国电机工程学报2011，Vol.31Issue(22)：80-87,8.
考虑输入变量相关性的概率潮流计算方法
Probabilistic Load Flow Analysis Considering Dependencies Among Input Random Variables
摘要
Abstract
With large-scale integration of wind farms into the bulk power system, it needs to take account of the wind power uncertainty in power system operation and planning. Probabilistie load flow （PLF） analysis is an important tool for analysing power system under steady state taking into account the uncertainties. In allusion to the disadvantages of the current PLF methods, a new method was proposed in this paper. This method is based on Monte Carlo simulation combined with Latin hypercube sampling （LHS） and can handle dependencies among the input random variables. It has many other advantages, such as high accuracy and fast computation. It is uneonstraint by the type of the input random variables＇ probability distributions. Considering the uncertainties of wind power output and loads, the effectiveness and accuracy of the proposed method was proven by the comparative tests in the IEEE 14-bus system and IEEE 118-bus system.关键词
概率潮流/蒙特卡罗模拟/拉丁超立方采样/相关性Key words
probabilistic load flow （PLF）/Monte Carlo simulation/Latin hypercube sampling （LHS）/correlation分类
信息技术与安全科学引用本文复制引用
陈雁,文劲宇,程时杰..考虑输入变量相关性的概率潮流计算方法[J].中国电机工程学报,2011,31(22):80-87,8.基金项目
国家自然科学基金重点项目（50937002) （）
国家重点基础研究发展计划项目（973项目)（2009CB219701). （）
