电力系统自动化2016，Vol.40Issue(13)：28-34,7.DOI:10.7500/AEPS20151019001
引入交叉熵与动态故障集的含风电大电网可靠性评估
Reliability Evaluation in Composite Power System Considering Wind Farms with Cross Entropy and Dynamic Fault Set
许鹏程 1陈启 1刘文霞 1王舒 1刘宗歧1
作者信息
- 1. 新能源电力系统国家重点实验室，华北电力大学，北京市102206
- 折叠
摘要
Abstract
The intermittency and randomness , which are typical operational characteristics of wind power generation , have brought about negative effects to the reliability of power system operation . Monte Carlo simulation ( MCS) based tools have proved useful in reliability evaluation . However , they face difficulties given the randomness of the fluctuant power output while the network is highly reliable particularly with the development of the power system . An improved cross entropy (CE) method is proposed which combines the CE and the dynamic fault set . The CE is presented to obtain the optimal probability parameters leading to a speed‐up in state sampling efficiency . In addition , a form of multiple index based on link‐list is proposed to replace time‐consuming optimal power flow ( OPF) . Finally , the proposed method is well applied to composite power system reliability evaluation tested on a modified IEEE RTS‐79 system . The efficiency of MCS , CE and the proposed method are compared in systems with different adequacies by altering the consumer load .关键词
蒙特卡洛模拟/交叉熵/动态故障集/多级索引/可靠性评估Key words
Monte Carlo simulation/cross entropy/dynamic fault set/multiple index/reliability evaluation引用本文复制引用
许鹏程,陈启,刘文霞,王舒,刘宗歧..引入交叉熵与动态故障集的含风电大电网可靠性评估[J].电力系统自动化,2016,40(13):28-34,7.
