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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IEEE
2019-01-01
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Series: | IEEE Access |
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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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institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T00:01:27Z |
publishDate | 2019-01-01 |
publisher | IEEE |
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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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