电力系统自动化Issue(4)：52-57,6.DOI:10.7500/AEPS20140220002
电力系统可靠性评估中的改进拉丁超立方抽样方法
Improved Latin Hypercube Sampling Method for Reliability Evaluation of Power Systems
摘要
Abstract
An improved Latin hypercube sampling method for power system reliability evaluation is proposed by combining Latin hypercube sampling method with the importance sampling method.In this method,the probabilistic distribution of current sample space of the system is changed by the importance sampling method,and then samples follow the new probability distribution are generated by Latin hypercube sampling.Thus the sampling variance is reduced and massive repeated samples in normal system state are avoided.The proposed method is applied to the reliability evaluation of the power generation section in an IEEE-RTS and modified IEEE-RTS test system.Comparison with the conventional non-sequential Monte Carlo simulation algorithm and the Latin hypercube sampling method shows that the sampling variance is reduced and the sampling efficiency improved with the proposed method with definite calculating accuracy guaranteed,which is suitable for the reliability evaluation of high reliability systems.关键词
电力系统/可靠性评估/蒙特卡洛模拟/重要抽样/拉丁超立方抽样Key words
power systems/reliability evaluation/Monte Carlo simulation/importance sampling/Latin hypercube sampling引用本文复制引用
张巍峰,车延博,刘阳升..电力系统可靠性评估中的改进拉丁超立方抽样方法[J].电力系统自动化,2015,(4):52-57,6.基金项目
国家国际科技合作与交流专项资助项目(2013DFA11040)。@@@@This work is supported by International Science and Technology Cooperation Project of China(No.2013DFA11040) （2013DFA11040）
