引用本文:刘美君,刘吉龙,李华强,张弘历,陈雨晴,罗怡德.计及电压等级的电网关键节点识别[J].电力自动化设备,2019,39(3):
LIU Meijun,LIU Jilong,LI Huaqiang,ZHANG Hongli,CHEN Yuqing,LUO Yide.Critical node identification of power grid considering voltage level[J].Electric Power Automation Equipment,2019,39(3):
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计及电压等级的电网关键节点识别
刘美君1, 刘吉龙2, 李华强1, 张弘历3, 陈雨晴4, 罗怡德5
1.四川大学 电气信息学院,四川 成都610065;2.国家电网公司滨州供电公司,山东滨州256600;3.国网江苏省电力公司 徐州供电分公司,江苏 徐州221005;4.国网四川省电力公司成都供电公司,四川 成都610041;5.国网江苏省电力公司检修分公司,江苏 南京211100
摘要:
从泰尔熵标准基本原理出发,在计及系统电压等级的基础上,综合考虑节点静态电压稳定性和支路转移潮流分布均衡性,提出一种电网关键节点辨识方法。从节点负荷变化对系统电压幅值增长和支路传输潮流变化的影响机理出发,建立电压增长率泰尔熵模型和加权潮流冲击率泰尔熵模型,描述系统电压增长和支路潮流变化的均衡性;采用二元分析法与熵权法相结合的权重分析法对指标进行综合,得到既结合主观偏好又考虑客观数据的关键节点综合评估指标,从而准确辨识出系统关键节点。IEEE 30节点系统及西南某地区实际系统的仿真结果验证了所提模型的有效性。
关键词:  电压增长率  加权潮流冲击率  电压等级  泰尔熵  组内差异  组间差异
DOI:10.16081/j.issn.1006-6047.2019.03.008
分类号:TM761
基金项目:
Critical node identification of power grid considering voltage level
LIU Meijun1, LIU Jilong2, LI Huaqiang1, ZHANG Hongli3, CHEN Yuqing4, LUO Yide5
1.School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China;2.State Grid Binzhou Electric Power Supply Company, Binzhou 256600, China;3.State Grid Xuzhou Electric Power Supply Company, Xuzhou 221005, China;4.State Grid Chengdu Electric Power Supply Company, Chengdu 610041, China;5.State Grid Jiangsu Electric Power Maintenance Branch Company, Nanjing 211100, China
Abstract:
Based on the basic principle of Theil’s entropy measure and system voltage level, a critical node identification method is proposed for power grid, which comprehensively considers the node static voltage stability and distribution equilibrium of branch transfer power flow. According to the influence mechanism of load variation on system voltage amplitude growth and transmission power flow variation, the Theil's entropy model of voltage growth rate and the Theil's entropy model of weighted flow impact rate are built to describe the equilibrium of system voltage growth and power flow variation. The weight analysis method combined with binary feature analysis method and entropy weight method is adopted to integrate the indexes, and thus the comprehensive evaluation index with the consideration of both the subjective preferences and the objective data is obtained to accurately identify the critical node. The simulative results of IEEE 30-bus system and a real regional southwest power system verify the validity of the proposed model.
Key words:  voltage growth rate  weighted flow impact rate  voltage level  Thiel's entropy  difference within group  difference between groups

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