Identification of Vulnerable Lines in Power Grid Considering Impact of Natural Gas Network

被引：0
|
作者：
Sang M. [1 ]
Bao M. [1 ]
Ding Y. [1 ]
Xue Y. [2 ]
Yang Y. [1 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 21期
基金：
中国国家自然科学基金;
关键词：
Complex network; Entropy theory; Natural gas network; Power grid; Vulnerable lines identification;
D O I：
10.7500/AEPS20190201007
中图分类号：
学科分类号：
摘要：
Identification of vulnerable line is an important part of risk control for power system operation. Under the background of power grid and natural gas network coupling, the operation state of natural gas network has a profound impact on the operation of power system. This paper presents a method for identifying the vulnerable lines of power grid considering the impact of natural gas network. Firstly, the steady-state optimization model of power grid and natural gas network coupling system is constructed, and the initial operation state of the coupling system is obtained. Based on the entropy theory, the coupling vulnerability factor is established to reflect the impact of gas source failure on the vulnerability of lines of power grid. Based on the complex network theory, the line structure vulnerability factor and operation vulnerability factor are established to reveal the inherent vulnerability of power grid from the structural perspective and operation status. Based on the above vulnerability factors, a comprehensive vulnerability index for identifying vulnerable lines is obtained. Then, two indicators of network efficiency and system transmission efficiency are used to reflect the impact of line faults on power grid to verify the identified vulnerable lines. Finally, a case composed by the IEEE 30-bus system and a 20-bus Belgian gas network shows that the proposed method can effectively analyze the influence of natural gas network on the identification of vulnerable lines in power grid. © 2019 Automation of Electric Power Systems Press.
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页码：34 / 43
页数：9
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