Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems

With the increase of complexity of the power system structure and operation mode, the risk of large-scale power outage accidents rises, which urgently need an accuracy algorithm for identifying vulnerabilities and mitigating risks. Aiming at this, the improved DebtRank (DR) algorithm is modified to...

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Autores principales:	Lijuan Li, Yiwei Zeng, Jie Chen, Yue Li, Hai Liu, Gangwei Ding
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	cascade failure DebtRank algorithm overloading state power system vulnerability General Works A
Acceso en línea:	https://doaj.org/article/42e4ead46b0147968d0c55b09770db77
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id	oai:doaj.org-article:42e4ead46b0147968d0c55b09770db77
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spelling	oai:doaj.org-article:42e4ead46b0147968d0c55b09770db772021-11-30T16:05:00ZElectrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems2296-598X10.3389/fenrg.2021.786439https://doaj.org/article/42e4ead46b0147968d0c55b09770db772021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.786439/fullhttps://doaj.org/toc/2296-598XWith the increase of complexity of the power system structure and operation mode, the risk of large-scale power outage accidents rises, which urgently need an accuracy algorithm for identifying vulnerabilities and mitigating risks. Aiming at this, the improved DebtRank (DR) algorithm is modified to adapt to the property of the power systems. The overloading state of the transmission lines plays a notable role of stable operation of the power systems. An electrical DR algorithm is proposed to incorporate the overloading state to the identification of vulnerable lines in the power systems in this article. First, a dual model of power system topology is established, the nodes of which represent the lines in the power systems. Then, besides the normal state and failure state having been considered, the definition of the overloading state is also added, and the line load and network topology are considered in the electrical DR algorithm to identify vulnerable lines. Finally, the correctness and reasonability of the vulnerable lines of the power systems identified by the electrical DR algorithm are proved by the comparative analysis of cascade failure simulation, showing its better advantages in vulnerability assessment of power systems.Lijuan LiLijuan LiYiwei ZengJie ChenYue LiHai LiuGangwei DingFrontiers Media S.A.articlecascade failureDebtRank algorithmoverloading statepower systemvulnerabilityGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cascade failure DebtRank algorithm overloading state power system vulnerability General Works A
spellingShingle	cascade failure DebtRank algorithm overloading state power system vulnerability General Works A Lijuan Li Lijuan Li Yiwei Zeng Jie Chen Yue Li Hai Liu Gangwei Ding Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems
description	With the increase of complexity of the power system structure and operation mode, the risk of large-scale power outage accidents rises, which urgently need an accuracy algorithm for identifying vulnerabilities and mitigating risks. Aiming at this, the improved DebtRank (DR) algorithm is modified to adapt to the property of the power systems. The overloading state of the transmission lines plays a notable role of stable operation of the power systems. An electrical DR algorithm is proposed to incorporate the overloading state to the identification of vulnerable lines in the power systems in this article. First, a dual model of power system topology is established, the nodes of which represent the lines in the power systems. Then, besides the normal state and failure state having been considered, the definition of the overloading state is also added, and the line load and network topology are considered in the electrical DR algorithm to identify vulnerable lines. Finally, the correctness and reasonability of the vulnerable lines of the power systems identified by the electrical DR algorithm are proved by the comparative analysis of cascade failure simulation, showing its better advantages in vulnerability assessment of power systems.
format	article
author	Lijuan Li Lijuan Li Yiwei Zeng Jie Chen Yue Li Hai Liu Gangwei Ding
author_facet	Lijuan Li Lijuan Li Yiwei Zeng Jie Chen Yue Li Hai Liu Gangwei Ding
author_sort	Lijuan Li
title	Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems
title_short	Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems
title_full	Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems
title_fullStr	Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems
title_full_unstemmed	Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems
title_sort	electrical debtrank algorithm–based identification of vulnerable transmission lines in power systems
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/42e4ead46b0147968d0c55b09770db77
work_keys_str_mv	AT lijuanli electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems AT lijuanli electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems AT yiweizeng electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems AT jiechen electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems AT yueli electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems AT hailiu electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems AT gangweiding electricaldebtrankalgorithmbasedidentificationofvulnerabletransmissionlinesinpowersystems
_version_	1718406440536768512

Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems

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