.png){kind=icon}
返回
Security-Constrained Optimal Power Flow via Cross-Entropy Method
.png){kind=icon}
PRE
AI
DOI：10.1109/TPWRS.2018.2847766.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a new optimization tool based on the cross-entropy (CE) method to assess security-constrained optimal power flow (SCOPF) solutions. First, the corresponding SCOPF stochastic problem is defined so that the optimum solution is interpreted as a rare event to be reached by a random search. Second, the CE method solves this new problem efficiently by making adaptive changes to the probability density function according to the Kullback-Leibler distance, creating a sequence of density functions that guides the search in the direction of the theoretically degenerate density at the optimal point. Different types of density functions are tested in order to cope with discrete variables present in the SCOPF problem. Two test systems, namely the IEEE 57 bus and the IEEE 300 bus, are used to evaluate the effectiveness of the proposed method in terms of solution quality and computational effort. Comparisons carried out with reference algorithms in the literature demonstrate that the CE method is capable of finding better solutions for the SCOPF problem with fewer evaluations.
Keyword:
Cross-entropy method
Monte Carlo simulation
rare event simulation
security-constrained optimal power flow
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
机构
引用论文
Sorption thermodynamics of organic pollutants onto zeolitic tuff: Isosteric and standard enthalpy
PREAI
分享收藏分享收藏Composite Systems Reliability Evaluation Based on Monte Carlo Simulation and Cross-Entropy Methods基于蒙特卡罗模拟和交叉熵方法的组合系统可靠性评估
PREAI
分享收藏分享收藏
Urinary Excretion of Podocalyxin Indicates Glomerular Epithelial Cell Injuries in Glomerulonephritis.png)
Nephron
NephronIF0
PREAI
分享收藏
查看更多内容