Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events
Extreme events are always accompanied with extensive failures and sharp performance degradation in the power network. This study aims to derive an effective scheme to identify the transmission bottlenecks and improve the power network’s resilience under extreme events. A greedy search scheme is desi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.941165/full |
| _version_ | 1811314202164330496 |
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| author | Haicheng Tu Xi Zhang Yongxiang Xia Fengqiang Gu Sheng Xu |
| author_facet | Haicheng Tu Xi Zhang Yongxiang Xia Fengqiang Gu Sheng Xu |
| author_sort | Haicheng Tu |
| collection | DOAJ |
| description | Extreme events are always accompanied with extensive failures and sharp performance degradation in the power network. This study aims to derive an effective scheme to identify the transmission bottlenecks and improve the power network’s resilience under extreme events. A greedy search scheme is designed for the quick and slow restoration stage to obtain the largest power supply (LPS), which is a significant engineering indicator of the power network. In the quick restoration stage, we use interior point optimization to adjust the operating parameters of undamaged components and maximize the LPS with limited resources. It is worth pointing out that the LPS cannot be further improved, even by increasing the capacities of most transmission links. This phenomenon is due to the existence of transmission bottlenecks, which operate at their capacity limits. Thus, in the slow restoration stage, we identify these transmission bottlenecks and further improve the LPS by expanding the capacities of these links. Case studies show that the proposed greedy search scheme can not only greatly improve the LPS available to the post-disaster network but can also accurately identify the transmission bottlenecks. This work provides practical insights for building resilient infrastructures, although the power network is the object of study. |
| first_indexed | 2024-04-13T11:09:00Z |
| format | Article |
| id | doaj.art-7cd9b34a458a44fea2e858b1ef42c79f |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-13T11:09:00Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-7cd9b34a458a44fea2e858b1ef42c79f2022-12-22T02:49:12ZengFrontiers Media S.A.Frontiers in Physics2296-424X2022-08-011010.3389/fphy.2022.941165941165Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme EventsHaicheng Tu0Xi Zhang1Yongxiang Xia2Fengqiang Gu3Sheng Xu4The School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaThe School of Automation, Beijing Institute of Technology, Beijing, ChinaThe School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, ChinaBeijing Kedong Electric Power Control System Co., Ltd., Beijing, ChinaThe College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaExtreme events are always accompanied with extensive failures and sharp performance degradation in the power network. This study aims to derive an effective scheme to identify the transmission bottlenecks and improve the power network’s resilience under extreme events. A greedy search scheme is designed for the quick and slow restoration stage to obtain the largest power supply (LPS), which is a significant engineering indicator of the power network. In the quick restoration stage, we use interior point optimization to adjust the operating parameters of undamaged components and maximize the LPS with limited resources. It is worth pointing out that the LPS cannot be further improved, even by increasing the capacities of most transmission links. This phenomenon is due to the existence of transmission bottlenecks, which operate at their capacity limits. Thus, in the slow restoration stage, we identify these transmission bottlenecks and further improve the LPS by expanding the capacities of these links. Case studies show that the proposed greedy search scheme can not only greatly improve the LPS available to the post-disaster network but can also accurately identify the transmission bottlenecks. This work provides practical insights for building resilient infrastructures, although the power network is the object of study.https://www.frontiersin.org/articles/10.3389/fphy.2022.941165/fullcomplex networknetwork bottlenecksresilience improvementoptimizationpower network |
| spellingShingle | Haicheng Tu Xi Zhang Yongxiang Xia Fengqiang Gu Sheng Xu Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events Frontiers in Physics complex network network bottlenecks resilience improvement optimization power network |
| title | Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events |
| title_full | Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events |
| title_fullStr | Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events |
| title_full_unstemmed | Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events |
| title_short | Bottlenecks Identification and Resilience Improvement of Power Networks in Extreme Events |
| title_sort | bottlenecks identification and resilience improvement of power networks in extreme events |
| topic | complex network network bottlenecks resilience improvement optimization power network |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2022.941165/full |
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