中国电机工程学报2017，Vol.37Issue(20)：5893-5901,9.DOI:10.13334/j.0258-8013.pcsee.170212
基于随机矩阵理论与熵理论的电网薄弱环节辨识方法
Power Grid Vulnerability Identification Methods Based on Random Matrix Theory and Entropy Theory
摘要
Abstract
Power grid vulnerability identification is great significance for guaranteeing power system security.The method of combining the random matrix theory with entropy theory was put forward to identify weak links which endanger power system security.Firstly,the fundamental principles of the random matrix theory and the characteristics of power system security weak link were introduced.Secondly,random matrix based on voltage and phase angle data was constructed and its statistical properties was analyzed and compared with physical properties.Thirdly,based on entropy theory,weak node and branch identification model was established.Data fluctuation characteristics can be quantitatively estimated according to variation coefficient.Finally,case study based on IEEE 39 node system validates the proposed approach.关键词
电网薄弱环节辨识/数据驱动/随机矩阵理论/熵理论/中心极限定理/变异系数Key words
power grid weakness identification/data-driven method/random matrix theory/entropy theory/central limit theorem/coefficient of variation分类
信息技术与安全科学引用本文复制引用
刘威,张东霞,丁玉成,吴茜,邓春宇,刘道伟..基于随机矩阵理论与熵理论的电网薄弱环节辨识方法[J].中国电机工程学报,2017,37(20):5893-5901,9.基金项目
国家电网公司科技项目(XT71-15-056).Project Supported by State Grid Corporation of China(XT71-15-056). （XT71-15-056）
