Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures

In this paper, we propose an AC power flow based cascading failure model that explicitly considers external weather conditions, extreme temperatures in particular, and evaluates the impact of extreme temperature on the initiation and propagation of cascading blackouts. Based on this model, resilienc...

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Autores principales:	Seyyed Rashid Khazeiynasab, Junjian Qi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Blackout cascading failure correlation extreme temperature extreme weather power transmission reliability Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/299a24f636504a4a922cd26511275268
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spelling	oai:doaj.org-article:299a24f636504a4a922cd265112752682021-11-30T00:00:20ZResilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures2196-542010.35833/MPCE.2020.000016https://doaj.org/article/299a24f636504a4a922cd265112752682021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9627860/https://doaj.org/toc/2196-5420In this paper, we propose an AC power flow based cascading failure model that explicitly considers external weather conditions, extreme temperatures in particular, and evaluates the impact of extreme temperature on the initiation and propagation of cascading blackouts. Based on this model, resilience analysis of the power system is performed with extreme temperatures. Specifically, the changes of load and dynamic line rating are modeled due to temperature disturbance. The probabilities for transmission line and generator outages are evaluated, and the timing for each type of events is calculated to decide the actual event sequence. It should be emphasized that the correlated events, in the advent of external temperature changes, could contribute to voltage instability. Besides, we model undervoltage load shedding and operator re-dispatch as control strategies for preventing the propagation of cascading failures. The effectiveness of the proposed model is verified by simulation results on the RTS-96 3-area system. It is found that temperature disturbances can lead to correlated load change and line/generator tripping, which will greatly increase the risk of cascading and voltage instability. Critical temperature change, critical area with temperature disturbance, the identification of most vulnerable buses, and the comparison of different control strategies are also investigated.Seyyed Rashid KhazeiynasabJunjian QiIEEEarticleBlackoutcascading failurecorrelationextreme temperatureextreme weatherpower transmission reliabilityProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENJournal of Modern Power Systems and Clean Energy, Vol 9, Iss 6, Pp 1446-1457 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Blackout cascading failure correlation extreme temperature extreme weather power transmission reliability Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
spellingShingle	Blackout cascading failure correlation extreme temperature extreme weather power transmission reliability Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830 Seyyed Rashid Khazeiynasab Junjian Qi Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures
description	In this paper, we propose an AC power flow based cascading failure model that explicitly considers external weather conditions, extreme temperatures in particular, and evaluates the impact of extreme temperature on the initiation and propagation of cascading blackouts. Based on this model, resilience analysis of the power system is performed with extreme temperatures. Specifically, the changes of load and dynamic line rating are modeled due to temperature disturbance. The probabilities for transmission line and generator outages are evaluated, and the timing for each type of events is calculated to decide the actual event sequence. It should be emphasized that the correlated events, in the advent of external temperature changes, could contribute to voltage instability. Besides, we model undervoltage load shedding and operator re-dispatch as control strategies for preventing the propagation of cascading failures. The effectiveness of the proposed model is verified by simulation results on the RTS-96 3-area system. It is found that temperature disturbances can lead to correlated load change and line/generator tripping, which will greatly increase the risk of cascading and voltage instability. Critical temperature change, critical area with temperature disturbance, the identification of most vulnerable buses, and the comparison of different control strategies are also investigated.
format	article
author	Seyyed Rashid Khazeiynasab Junjian Qi
author_facet	Seyyed Rashid Khazeiynasab Junjian Qi
author_sort	Seyyed Rashid Khazeiynasab
title	Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures
title_short	Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures
title_full	Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures
title_fullStr	Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures
title_full_unstemmed	Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures
title_sort	resilience analysis and cascading failure modeling of power systems under extreme temperatures
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/299a24f636504a4a922cd26511275268
work_keys_str_mv	AT seyyedrashidkhazeiynasab resilienceanalysisandcascadingfailuremodelingofpowersystemsunderextremetemperatures AT junjianqi resilienceanalysisandcascadingfailuremodelingofpowersystemsunderextremetemperatures
_version_	1718406852207706112

Resilience Analysis and Cascading Failure Modeling of Power Systems Under Extreme Temperatures

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