Novel complex network model and its application in identifying critical components of power grid

被引:19
作者
Chen, Chong [1 ]
Zhou, Xuan [1 ]
Li, Zhuo [1 ]
He, Zhiheng [1 ]
Li, Zhengtian [1 ]
Lin, Xiangning [1 ]
机构
[1] HUST, Sch Elect & Elect Engn, State Key Lab Adv Elect Engn & Technol, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex network model; Power flow transmission network; Transmission capability; Critical component identification; Capability degree; Betweenness; VULNERABILITY ASSESSMENT; BETWEENNESS APPROACH; FLOW;
D O I
10.1016/j.physa.2018.08.095
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
A novel power grid complex network model in order to in-depth characterize the power grid with its complexity is proposed in this paper, based on the power flow transmission network (PFTN). With novel definitions, considering the path, distance and capacity of power transmission comprehensively, the complex network model can comply with the basic electrical law and the physical constraints of power grid. On this basis, an index set for identifying critical buses and branches within the power grid is designed. The index set includes distance and capability degree, hub, distance and capability betweenness, which can fully evaluate the role of nodes or branches in composing the structure and maintaining the system operation of the power grid. Simulations on both IEEE benchmark systems and a provincial power grid in China are conducted using the proposed model, with critical components identification yielding good results. By comparison with existing methods, the effectiveness and superiority of the proposed model are verified. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:316 / 329
页数:14
相关论文
共 35 条
[1]   Structural vulnerability of the North American power grid [J].
Albert, R ;
Albert, I ;
Nakarado, GL .
PHYSICAL REVIEW E, 2004, 69 (02) :025103-1
[2]   Causes of the 2003 major grid blackouts in north America and Europe, and recommended means to improve System Dynamic Performance [J].
Andersson, G ;
Donalek, P ;
Farmer, R ;
Hatziargyriou, N ;
Kamwa, I ;
Kundur, P ;
Martins, N ;
Paserba, J ;
Pourbeik, P ;
Sanchez-Gasca, J ;
Schulz, R ;
Stankovic, A ;
Taylor, C ;
Vittal, V .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1922-1928
[3]   Hybrid flow betweenness approach for identification of vulnerable line in power system [J].
Bai, Hao ;
Miao, Shihong .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (12) :1324-1331
[4]   Tracing the flow of electricity [J].
Bialek, J .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1996, 143 (04) :313-320
[5]   Performance of Electric Power Systems Under Physical Malicious Attacks [J].
Bilis, Evangelos I. ;
Kroeger, Wolfgang ;
Nan, Cen .
IEEE SYSTEMS JOURNAL, 2013, 7 (04) :854-865
[6]   Extended topological approach for the assessment of structural vulnerability in transmission networks [J].
Bompard, E. ;
Napoli, R. ;
Xue, F. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (06) :716-724
[7]   A perspective overview of topological approaches for vulnerability analysis of power transmission grids [J].
Bompard, Ettore ;
Luo, Lingen ;
Pons, Enrico .
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES, 2015, 11 (01) :15-26
[8]   Analysis of the structural vulnerability of the interconnected power grid of continental Europe with the Integrated Power System and Unified Power System based on extended topological approach [J].
Bompard, Ettore ;
Pons, Enrico ;
Wu, Di .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2013, 23 (05) :620-637
[9]   Structural vulnerability of power systems: A topological approach [J].
Bompard, Ettore ;
Wu, Di ;
Xue, Fei .
ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (07) :1334-1340
[10]   Modeling and impact analysis of interdependent characteristics on cascading failures in smart grids [J].
Cai, Ye ;
Li, Yong ;
Cao, Yijia ;
Li, Wenguo ;
Zeng, Xiangjun .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 89 :106-114