基于统计学习理论的电网薄弱环节识别技术框架研究  

Study of Technical Framework of Weakness Identification in Power Grid Based on Statistics Studying Theory

作　　者：黄霆[1] 林韩[2] 黄道姗[1] 吴丹岳[1] 

机构地区：[1]国网福建省电力有限公司电力科学研究院,福建福州350007 [2]国网福建省电力有限公司,福建福州350003

出　　处：《电力与电工》2013年第4期19-22,共4页Electric Power and Electrical Engineering

摘　　要：探讨了基于统计学习理论的电网薄弱环节识别技术框架;提出以故障地点电气特征、拓扑特征和故障区域特征为影响稳定性关键特征的技术构想;通过分析输入输出相关性,最终实现识别电网薄弱环节及其关键特征的方法。This article bases on statistics studying method to give a technical framework of weakness identification in power grid. The conjecture is given according to characteristics of faults in facts of electric,topology and area. It uses samples selected from simulation results as input characteristics of support vector machine. The method given in this article can be used to analyze the relationship between input information and output results,and made it possible that identify weakness of power grid and its key characteristics.

关 键 词：统计学习理论 支持向量机 薄弱环节 

分 类 号：TM711[电气工程—电力系统及自动化]