摘要
电力系统脆弱线路的识别,对连锁故障的预测、提高系统安全运行水平和阻止大停电的发生具有重要意义。文中提出了一种考虑高铁负荷特性的电网脆弱线路辨识方法。依赖于实测高铁负荷数据以及N-1概率潮流计算,同时考虑电力网络传输线路之间的拓扑结构和电气耦合关系,建立电力网络的相关性网络。在该相关性网络的基础上,利用加权K核分解方法辨识出系统脆弱线路。在IEEE 39和IEEE 118节点系统的仿真中验证了该方法的正确性和有效性。
The identification of power system vulnerable lines has important meaning to predict the cascading failure,improve the security of power system and prevent major power outages.This paper proposes a new vulnerable lines identification method of power system considering the characteristics of high-speed railway load.The correlation network of power system is established depending on the real data of high-speed railway load and N-1 probabilistic power flow calculation,as well as considering the topologic structure and electrical coupling relationship of power system lines.This method uses weighted K-shell decomposition process to identify vulnerable lines in power system based on the established correlation network.The correctness and validity have been verified in the numerical simulation of IEEE 39 and IEEE 118 node system.
作者
侯荣均
张乔
罗旭
高强
尹飞泉
苏冬冬
Hou Rongjun;Zhang Qiao;Luo Xu;Gao QiangYin Feiquan;Su Dongdong(Economic Technology Research Institute of Chongqing Electric Power Company,Chongqing 401120,China;School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China)
出处
《电测与仪表》
北大核心
2019年第21期30-35,51,共7页
Electrical Measurement & Instrumentation
关键词
电力系统
脆弱线路辨识
高铁负荷
概率潮流
加权K核分解
power system
vulnerable lines identification
high-speed railway load
probabilistic power flow
weighted K-shell decomposition
