引用本文:和敬涵,王紫琪,张大海.基于网络分割及旁侧路径搜索的输电断面识别方法[J].电力自动化设备,2017,37(7):
HE Jinghan,WANG Ziqi,ZHANG Dahai.Transmission section identification based on network segmenting and side-path searching[J].Electric Power Automation Equipment,2017,37(7):
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基于网络分割及旁侧路径搜索的输电断面识别方法
和敬涵, 王紫琪, 张大海
北京交通大学 电气工程学院 电力系统保护与控制实验室,北京 100044
摘要:
在潮流转移特性分析的基础上,提出一种基于网络分割及旁侧路径搜索的输电断面识别方法。该方法立足图论思想构建电网拓扑模型及关系矩阵,利用网络分割简化系统结构,准确限定开断支路的输电断面存在范围;基于提出的删除添加算法建立旁侧通路路径库,获得各支路分流系数,据此识别输电断面并得到其敏感度排序。仿真结果证明所提方法的正确性与有效性。
关键词:  输电断面  网络分割  旁侧通路路径  图论  潮流转移因子  分流系数  割点  割边
DOI:10.16081/j.issn.1006-6047.2017.07.001
分类号:TM761
基金项目:国家自然科学基金资助项目(51277009)
Transmission section identification based on network segmenting and side-path searching
HE Jinghan, WANG Ziqi, ZHANG Dahai
Power System Protection and Control Research Laboratory, School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Abstract:
According to the characteristic analysis of power-flow transfer, a method of transmission section identification based on network segmenting and side-path searching is proposed, which constructs the network topology model and relation matrix based on the graph theory, simplifies the system structure by network segmenting, and limits accurately the existing area of transmission section for a line to be tripped off. A delete-add algorithm is proposed for setting the side-path library to obtain the flow coefficient of each path, based on which, the transmission sections are identified and ranked according to their sensitivities. Simulative results verify the correctness and effectiveness of the proposed method.
Key words:  transmission section  network segmenting  side paths  graph theory  power-flow transfer factor  flow coefficient  cut points  cut edges

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