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):. wangshaowei,luopingping.Power Generation System Reliability Evaluation Based on Mixture Model and Cross Entropy Importance Sampling[J].Electrical Measurement & Instrumentation,2017,54(3):.
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
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 and decreasing the efficiency of the calculation of reliability indexes consequently. We proposed a cross-entropy method based on the iteration of a mixture of many PMFs with different weights and take samplers to calculate the reliability indexes based on the mixture. With the proposed method, the convergence of the indexes will be faster while the accuracy is satisfactory, the samplers needed in the reliability evaluation of high-reliable system will be much less. Computational results demonstrate the superiority of the proposed method.
