Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment

Contingency analysis is an important building block in the stability and reliability analysis of power grid operations. However, due to the large number of transmission lines, in practice only a limited number of contingencies could be evaluated. This paper proposes a graph theory based <tex>$...

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Autores principales:	Lu Nan, Yikui Liu, Lei Wu, Tianqi Liu, Chuan He
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Concentric relaxation contingency analysis graph theory security-constrained unit commitment (SCUC) shortest path vulnerability index Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/60a9d8f5b60b4067b291a98e3af0a11a
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spelling	oai:doaj.org-article:60a9d8f5b60b4067b291a98e3af0a11a2021-12-01T00:01:46ZGraph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment2196-542010.35833/MPCE.2019.000602https://doaj.org/article/60a9d8f5b60b4067b291a98e3af0a11a2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9163311/https://doaj.org/toc/2196-5420Contingency analysis is an important building block in the stability and reliability analysis of power grid operations. However, due to the large number of transmission lines, in practice only a limited number of contingencies could be evaluated. This paper proposes a graph theory based <tex>$N$</tex>-1 contingency selection method to effectively identify the most critical contingencies, which can be used in security-constrained unit commitment (SCUC) problems to derive secure and economic operation decisions of the power grid. Specifically, the power flow transferring path identification algorithm and the vulnerability index are put forward to rank individual contingencies according to potential transmission line overloads. Effectiveness of the proposed <tex>$N$</tex>-1 contingency selection method is quantified by applying the corresponding SCUC solution to the full <tex>$N$</tex> - 1 security evaluation, i.e., quantifying total post-contin-gency generation-load imbalance in all <tex>$N$</tex> -1 contingencies. Numerical results on several benchmark IEEE systems, including 5-bus, 24-bus, and 118-bus systems, show effectiveness of the proposed method. Compared with existing contingency selection methods which usually resort to full power flow calculations, the proposed method relies on power gird topology to effectively identify critical contingencies for facilitating the optimal scheduling of SCUC problems.Lu NanYikui LiuLei WuTianqi LiuChuan HeIEEEarticleConcentric relaxationcontingency analysisgraph theorysecurity-constrained unit commitment (SCUC)shortest pathvulnerability indexProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENJournal of Modern Power Systems and Clean Energy, Vol 9, Iss 6, Pp 1458-1467 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Concentric relaxation contingency analysis graph theory security-constrained unit commitment (SCUC) shortest path vulnerability index Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
spellingShingle	Concentric relaxation contingency analysis graph theory security-constrained unit commitment (SCUC) shortest path vulnerability index Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830 Lu Nan Yikui Liu Lei Wu Tianqi Liu Chuan He Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment
description	Contingency analysis is an important building block in the stability and reliability analysis of power grid operations. However, due to the large number of transmission lines, in practice only a limited number of contingencies could be evaluated. This paper proposes a graph theory based <tex>$N$</tex>-1 contingency selection method to effectively identify the most critical contingencies, which can be used in security-constrained unit commitment (SCUC) problems to derive secure and economic operation decisions of the power grid. Specifically, the power flow transferring path identification algorithm and the vulnerability index are put forward to rank individual contingencies according to potential transmission line overloads. Effectiveness of the proposed <tex>$N$</tex>-1 contingency selection method is quantified by applying the corresponding SCUC solution to the full <tex>$N$</tex> - 1 security evaluation, i.e., quantifying total post-contin-gency generation-load imbalance in all <tex>$N$</tex> -1 contingencies. Numerical results on several benchmark IEEE systems, including 5-bus, 24-bus, and 118-bus systems, show effectiveness of the proposed method. Compared with existing contingency selection methods which usually resort to full power flow calculations, the proposed method relies on power gird topology to effectively identify critical contingencies for facilitating the optimal scheduling of SCUC problems.
format	article
author	Lu Nan Yikui Liu Lei Wu Tianqi Liu Chuan He
author_facet	Lu Nan Yikui Liu Lei Wu Tianqi Liu Chuan He
author_sort	Lu Nan
title	Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment
title_short	Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment
title_full	Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment
title_fullStr	Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment
title_full_unstemmed	Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment
title_sort	graph theory based n-1 transmission contingency selection and its application in security-constrained unit commitment
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/60a9d8f5b60b4067b291a98e3af0a11a
work_keys_str_mv	AT lunan graphtheorybasedn1transmissioncontingencyselectionanditsapplicationinsecurityconstrainedunitcommitment AT yikuiliu graphtheorybasedn1transmissioncontingencyselectionanditsapplicationinsecurityconstrainedunitcommitment AT leiwu graphtheorybasedn1transmissioncontingencyselectionanditsapplicationinsecurityconstrainedunitcommitment AT tianqiliu graphtheorybasedn1transmissioncontingencyselectionanditsapplicationinsecurityconstrainedunitcommitment AT chuanhe graphtheorybasedn1transmissioncontingencyselectionanditsapplicationinsecurityconstrainedunitcommitment
_version_	1718406142929928192

Graph Theory Based N-1 Transmission Contingency Selection and Its Application in Security-constrained Unit Commitment

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