Vulnerable Transmission Lines Identification Based on Complex Network Theory

Lu Nan; Tianqi Liu; Lei Wu; Chuan He; Yafei Yang

doi:10.1109/PESGM40551.2019.8973916

Vulnerable Transmission Lines Identification Based on Complex Network Theory

Lu Nan
, Tianqi Liu
, Lei Wu
, Chuan He
, Yafei Yang

Department of Electrical and Computer Engineering

Stevens Institute of Technology
Sichuan University
Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Vulnerable transmission lines play an important role in the spread of cascading failures and blackouts, which threaten the security and reliability of power grid. To identify vulnerable transmission lines with the increasing complexity of interconnected power grid, a new index called synthetic vulnerability is discussed in this paper to identify vulnerable transmission lines, by simultaneously evaluating topological vulnerability and power flow transmission vulnerability. Furthermore, a risk evaluation metric is introduced with enhanced risky exponential utility function to quantify influences on the power grid after identified vulnerable lines trip. Numerical results on the IEEE 5-bus system and the IEEE 39-bus system show the effectiveness of the proposed indices and the identification methods.

Original language	English
Title of host publication	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
ISBN (Electronic)	9781728119816
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973916
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2019-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	4/08/19 → 8/08/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Topological betweenness
complex network theory
power flow
risk evaluation
synthetic vulnerability

Access to Document

10.1109/PESGM40551.2019.8973916

Cite this

@inproceedings{4c3d66d540a14df78c65df36f929abea,

title = "Vulnerable Transmission Lines Identification Based on Complex Network Theory",

abstract = "Vulnerable transmission lines play an important role in the spread of cascading failures and blackouts, which threaten the security and reliability of power grid. To identify vulnerable transmission lines with the increasing complexity of interconnected power grid, a new index called synthetic vulnerability is discussed in this paper to identify vulnerable transmission lines, by simultaneously evaluating topological vulnerability and power flow transmission vulnerability. Furthermore, a risk evaluation metric is introduced with enhanced risky exponential utility function to quantify influences on the power grid after identified vulnerable lines trip. Numerical results on the IEEE 5-bus system and the IEEE 39-bus system show the effectiveness of the proposed indices and the identification methods.",

keywords = "Topological betweenness, complex network theory, power flow, risk evaluation, synthetic vulnerability",

author = "Lu Nan and Tianqi Liu and Lei Wu and Chuan He and Yafei Yang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

month = aug,

doi = "10.1109/PESGM40551.2019.8973916",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

booktitle = "2019 IEEE Power and Energy Society General Meeting, PESGM 2019",

}

Nan, L, Liu, T, Wu, L, He, C & Yang, Y 2019, Vulnerable Transmission Lines Identification Based on Complex Network Theory. in 2019 IEEE Power and Energy Society General Meeting, PESGM 2019., 8973916, IEEE Power and Energy Society General Meeting, vol. 2019-August, 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States, 4/08/19. https://doi.org/10.1109/PESGM40551.2019.8973916

TY - GEN

T1 - Vulnerable Transmission Lines Identification Based on Complex Network Theory

AU - Nan, Lu

AU - Liu, Tianqi

AU - Wu, Lei

AU - He, Chuan

AU - Yang, Yafei

PY - 2019/8

Y1 - 2019/8

N2 - Vulnerable transmission lines play an important role in the spread of cascading failures and blackouts, which threaten the security and reliability of power grid. To identify vulnerable transmission lines with the increasing complexity of interconnected power grid, a new index called synthetic vulnerability is discussed in this paper to identify vulnerable transmission lines, by simultaneously evaluating topological vulnerability and power flow transmission vulnerability. Furthermore, a risk evaluation metric is introduced with enhanced risky exponential utility function to quantify influences on the power grid after identified vulnerable lines trip. Numerical results on the IEEE 5-bus system and the IEEE 39-bus system show the effectiveness of the proposed indices and the identification methods.

AB - Vulnerable transmission lines play an important role in the spread of cascading failures and blackouts, which threaten the security and reliability of power grid. To identify vulnerable transmission lines with the increasing complexity of interconnected power grid, a new index called synthetic vulnerability is discussed in this paper to identify vulnerable transmission lines, by simultaneously evaluating topological vulnerability and power flow transmission vulnerability. Furthermore, a risk evaluation metric is introduced with enhanced risky exponential utility function to quantify influences on the power grid after identified vulnerable lines trip. Numerical results on the IEEE 5-bus system and the IEEE 39-bus system show the effectiveness of the proposed indices and the identification methods.

KW - Topological betweenness

KW - complex network theory

KW - power flow

KW - risk evaluation

KW - synthetic vulnerability

UR - https://www.scopus.com/pages/publications/85079063164

UR - https://www.scopus.com/pages/publications/85079063164#tab=citedBy

U2 - 10.1109/PESGM40551.2019.8973916

DO - 10.1109/PESGM40551.2019.8973916

M3 - Conference contribution

AN - SCOPUS:85079063164

T3 - IEEE Power and Energy Society General Meeting

BT - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019

T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019

Y2 - 4 August 2019 through 8 August 2019

ER -

Vulnerable Transmission Lines Identification Based on Complex Network Theory

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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