首页 | 官方网站   微博 | 高级检索  
     

基于改进复杂网络模型的电网关键环节辨识
引用本文:徐敬友,陈冲,罗纯坚,陈曦,熊炜,林湘宁.基于改进复杂网络模型的电网关键环节辨识[J].电力系统自动化,2016,40(10):53-61.
作者姓名:徐敬友  陈冲  罗纯坚  陈曦  熊炜  林湘宁
作者单位:国网湖北省电力公司经济技术研究院, 湖北省武汉市 430077,强电磁工程与新技术国家重点实验室, 华中科技大学, 湖北省武汉市 430074,国网湖北省电力公司经济技术研究院, 湖北省武汉市 430077,国网湖北省电力公司经济技术研究院, 湖北省武汉市 430077,国网湖北省电力公司经济技术研究院, 湖北省武汉市 430077,强电磁工程与新技术国家重点实验室, 华中科技大学, 湖北省武汉市 430074
摘    要:为了更好地揭示电网复杂形态下的特性以及辨识可能触发电网大规模事故的关键环节,通过功率传输路径、功率加权传输距离、路径传输能力的定义对已有的电网复杂网络模型进行改进,使之符合电网基本电气规律和满足物理特性约束。进而基于改进的电网复杂网络模型建立了包含距离度、能力度、枢纽介数、距离介数和能力介数的电网关键节点和支路的评价指标集,使之能准确考虑节点和支路在电网结构和运行中的地位和作用。利用所述模型对IEEE典型系统以及某省级电网进行建模和关键环节辨识,取得了较好效果,并通过与现有方法的对比验证了算法的合理性与有效性。

关 键 词:改进复杂网络模型  功率传输路径  路径传输能力  关键环节辨识
收稿时间:2015/8/24 0:00:00
修稿时间:2016/1/11 0:00:00

Identification of Power Grid Key Parts Based on Improved Complex Network Model
XU Jingyou,CHEN Chong,LUO Chunjian,CHEN Xi,XIONG Wei and LIN Xiangning.Identification of Power Grid Key Parts Based on Improved Complex Network Model[J].Automation of Electric Power Systems,2016,40(10):53-61.
Authors:XU Jingyou  CHEN Chong  LUO Chunjian  CHEN Xi  XIONG Wei and LIN Xiangning
Affiliation:Economic & Technology Research Institute, State Grid Hubei Electric Power Company, Wuhan 430077, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China,Economic & Technology Research Institute, State Grid Hubei Electric Power Company, Wuhan 430077, China,Economic & Technology Research Institute, State Grid Hubei Electric Power Company, Wuhan 430077, China,Economic & Technology Research Institute, State Grid Hubei Electric Power Company, Wuhan 430077, China and State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:To better reveal the characteristics of the power grid with its complexity and identify the key parts that may trigger a large-scale accident within the grid, the existing power grid complex network model is improved by the definition of power transmission path, weighted power transmission distance and path transmission capability, which now complies with the basic electrical law of power grid and the physical constraints. Based on the improved power grid complex network model, an evaluation index set of the key bus and branches within the grid is established, including indices of distance degree, capability degree, hub betweenness, distance betweenness and capability betweenness, which fully considers the variety of tasks that each and every key bus and key branch undertake in the grid structure and operation. Simulations of both IEEE typical test system and Hubei power grid are conducted using the proposed model and algorithm, with key parts identification yielding good results. In comparison with some existing methods, the rationality and effectiveness of the proposed algorithm are verified.
Keywords:improved complex network model  power transmission path  path transmission capacity  key parts identification
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号