电测与仪表2017，Vol.54Issue(3)：35-41,7.
基于混合模型和交叉熵重要性抽样的发电系统可靠性评估
Power generation system reliability evaluation based on mixture model and cross entropy importance sampling
摘要
Abstract
The cross-entropy method which is used in solving the optimal probability mass function ( PMF) of power generation system is based on the iteration of a single PMF, resulting in large number of state samplers must be needed thus decreasing the efficiency of the calculation of reliability indexes consequently.We proposed a novel pwer genera-tion system reliability evaluation method based on cross-entropy importance sampling and the iteration of a mixture of PMFs with different weights and take samplers to calculate the reliability indexes based on the mixture.With the pro-posed method, the convergence of the indexes are faster while the accuracy is satisfactory, the samplers needed in the reliability evaluation of high-reliable system are much less.Computational results demonstrate the superiority of the proposed method.关键词
发电系统/蒙特卡洛法/可靠性评估/混合模型/交叉熵重要抽样Key words
power generation system/Monte Carlo method/reliability evaluation/mixture model/cross entropy分类
信息技术与安全科学引用本文复制引用
王少伟,罗萍萍..基于混合模型和交叉熵重要性抽样的发电系统可靠性评估[J].电测与仪表,2017,54(3):35-41,7.基金项目
上海绿色能源并网工程技术研究中心资助项目(13DZ2251900) （13DZ2251900）
