摘要
针对电力系统概率仿真中常用的蒙特卡罗抽样方法样本容量太大、效率不高的现状,文章提出采用重点抽样方法来减少抽样方差,从而在保证计算精度的同时,显著减少抽样次数和计算时间,提高了蒙特卡罗方法的实用性。由IEEE标准测试系统的计算结果表明。
In Monte Carlo sampling technology normally used in power system, probabilistic simulation has low efficiency and needs large sample size. This paper presents importance sampling scheme to reduce the variance of reliability indices .The new method decreases sample size and computation effort evidently and enhances the practicality of Monte Carlo simulation. The computation result on IEEE RTS test system proves its effectiveness and feasibility.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
1999年第6期20-25,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家攀登 B计划资助项目! ( 93 0 2 110 10 )
安徽省自然科学基金!资助项目 ( 97413 0 0 1)
关键词
重点抽样
电力系统
蒙特卡罗抽样
概率仿真
importance sampling
power system
Monte Carlo simulation
reliability
