Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method

The blackout risks of cascading failures in power systems are notably associated with the failures of transmission lines. Line capacity temporary expansion can reduce blackout risk by decreasing the line failures due to the overloads during the cascading failures. To efficiently quantify the impact...

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Main Authors: Linzhi Li, Hao Wu, Yonghua Song, Dunwen Song, Yi Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8935204/
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author Linzhi Li
Hao Wu
Yonghua Song
Dunwen Song
Yi Liu
author_facet Linzhi Li
Hao Wu
Yonghua Song
Dunwen Song
Yi Liu
author_sort Linzhi Li
collection DOAJ
description The blackout risks of cascading failures in power systems are notably associated with the failures of transmission lines. Line capacity temporary expansion can reduce blackout risk by decreasing the line failures due to the overloads during the cascading failures. To efficiently quantify the impact of line capacity temporary expansion on blackout risks, we propose a data based state-failure-network method in this paper. The state-failure network, which is formed by the cascading failure data generated by cascading failure simulations, contains the empirical probabilities that correspond to the failure probabilities of lines. Since implementing line capacity temporary expansion to the system can change the failure probabilities of lines and reduce the blackout risk, the empirical probabilities offer the link between line capacity temporary expansion and state-failure network. By updating the values in the state-failure network with changed empirical probabilities, the blackout risk after line capacity temporary expansion is implemented can be efficiently worked out by state-failure network. Thus, the impact of line capacity temporary expansion on blackout risk is quantified by comparing the newly calculated blackout risk with the risk before the line capacity temporary expansion is implemented. The advantage of the proposed method lies in the high accuracy and efficiency of quantifying the impacts of any line capacity temporary expansion schemes once the state-failure network is formed. Case studies verify the accuracy and efficiency of the proposed method.
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spelling doaj.art-09d74f289ecf47119d94b93e0b1c33e42022-12-21T23:26:19ZengIEEEIEEE Access2169-35362019-01-01718304918306010.1109/ACCESS.2019.29603068935204Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network MethodLinzhi Li0https://orcid.org/0000-0002-0526-6014Hao Wu1https://orcid.org/0000-0002-6029-4413Yonghua Song2https://orcid.org/0000-0002-1495-4644Dunwen Song3https://orcid.org/0000-0002-6996-118XYi Liu4https://orcid.org/0000-0003-3374-7082College of Electrical Engineering, Zhejiang University, Hangzhou, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou, ChinaChina Electric Power Research Institute, Beijing, ChinaState Grid Henan Electric Power Company, Zhengzhou, ChinaThe blackout risks of cascading failures in power systems are notably associated with the failures of transmission lines. Line capacity temporary expansion can reduce blackout risk by decreasing the line failures due to the overloads during the cascading failures. To efficiently quantify the impact of line capacity temporary expansion on blackout risks, we propose a data based state-failure-network method in this paper. The state-failure network, which is formed by the cascading failure data generated by cascading failure simulations, contains the empirical probabilities that correspond to the failure probabilities of lines. Since implementing line capacity temporary expansion to the system can change the failure probabilities of lines and reduce the blackout risk, the empirical probabilities offer the link between line capacity temporary expansion and state-failure network. By updating the values in the state-failure network with changed empirical probabilities, the blackout risk after line capacity temporary expansion is implemented can be efficiently worked out by state-failure network. Thus, the impact of line capacity temporary expansion on blackout risk is quantified by comparing the newly calculated blackout risk with the risk before the line capacity temporary expansion is implemented. The advantage of the proposed method lies in the high accuracy and efficiency of quantifying the impacts of any line capacity temporary expansion schemes once the state-failure network is formed. Case studies verify the accuracy and efficiency of the proposed method.https://ieeexplore.ieee.org/document/8935204/Blackout riskcascading failuresstate-failure–network methodline capacity temporary expansion
spellingShingle Linzhi Li
Hao Wu
Yonghua Song
Dunwen Song
Yi Liu
Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method
IEEE Access
Blackout risk
cascading failures
state-failure–network method
line capacity temporary expansion
title Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method
title_full Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method
title_fullStr Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method
title_full_unstemmed Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method
title_short Quantify the Impact of Line Capacity Temporary Expansion on Blackout Risk by the State-Failure–Network Method
title_sort quantify the impact of line capacity temporary expansion on blackout risk by the state failure x2013 network method
topic Blackout risk
cascading failures
state-failure–network method
line capacity temporary expansion
url https://ieeexplore.ieee.org/document/8935204/
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