Global maximum flow based time-domain simulation method for evaluating power system resilience
With climate change, extreme weather is occurring frequently, which can cause serious damage to energy supply systems. It is of great significance to study the performance of power transmission system under extreme weather for prevention and reinforcement before and after disasters. This paper propo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723005772 |
| _version_ | 1797691990019670016 |
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| author | Chunming Liu Jiawei Yu Xi Zhu Donghui Wang Xiyan Guan |
| author_facet | Chunming Liu Jiawei Yu Xi Zhu Donghui Wang Xiyan Guan |
| author_sort | Chunming Liu |
| collection | DOAJ |
| description | With climate change, extreme weather is occurring frequently, which can cause serious damage to energy supply systems. It is of great significance to study the performance of power transmission system under extreme weather for prevention and reinforcement before and after disasters. This paper proposes a time-domain simulation model for quantifying power system resilience under extreme typhoon scenario. Firstly, the power system resilience assessment method based on global maximum flow (GMF) is presented, which is applied to map the overall system operation performance via creating a network indicator while considering component fragility, system topology, and power flow. A specific resilience expression (RES) is proposed to describe percentage improvement of each component in the resilience metrics by considering the overall system performance. Secondly, power system vulnerability model and time-domain simulation methodology are established. The proposed method is demonstrated by four case studies using the IEEE-30 node test system under specific typhoon scenarios. From the GMF based RES index, the component repair strategy is formulated accordingly. The proposed restoration strategy, compared with the traditional expert strategy can effectively measure the resilience contribution of each component to the whole power system, and minimizes the power system performance losses due to extreme typhoon. The proposed approach quantitatively evaluates real-time system resilience to extreme typhoons, and it can also identify the system critical areas and assess the benefits of different resilience enhancement strategies. The resilience assessment framework can also be applied to other extreme scenarios and contribute to planning and construction of strong smart grid in the future. |
| first_indexed | 2024-03-12T02:21:06Z |
| format | Article |
| id | doaj.art-5662eaeb9d3749e3972b76a6fc50fe6e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T02:21:06Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-5662eaeb9d3749e3972b76a6fc50fe6e2023-09-06T04:52:12ZengElsevierEnergy Reports2352-48472023-09-019532541Global maximum flow based time-domain simulation method for evaluating power system resilienceChunming Liu0Jiawei Yu1Xi Zhu2Donghui Wang3Xiyan Guan4North China Electric Power University, 2 Beinong Rd, Huilongguan, Changping District, Beijing, China; Corresponding author.North China Electric Power University, 2 Beinong Rd, Huilongguan, Changping District, Beijing, ChinaState Grid Beijing Electric Power Company, 57 Qianmen West St, West Chang’an St, Xicheng District, Beijing, ChinaState Grid Beijing Electric Power Company, 57 Qianmen West St, West Chang’an St, Xicheng District, Beijing, ChinaState Grid Beijing Electric Power Company, 57 Qianmen West St, West Chang’an St, Xicheng District, Beijing, ChinaWith climate change, extreme weather is occurring frequently, which can cause serious damage to energy supply systems. It is of great significance to study the performance of power transmission system under extreme weather for prevention and reinforcement before and after disasters. This paper proposes a time-domain simulation model for quantifying power system resilience under extreme typhoon scenario. Firstly, the power system resilience assessment method based on global maximum flow (GMF) is presented, which is applied to map the overall system operation performance via creating a network indicator while considering component fragility, system topology, and power flow. A specific resilience expression (RES) is proposed to describe percentage improvement of each component in the resilience metrics by considering the overall system performance. Secondly, power system vulnerability model and time-domain simulation methodology are established. The proposed method is demonstrated by four case studies using the IEEE-30 node test system under specific typhoon scenarios. From the GMF based RES index, the component repair strategy is formulated accordingly. The proposed restoration strategy, compared with the traditional expert strategy can effectively measure the resilience contribution of each component to the whole power system, and minimizes the power system performance losses due to extreme typhoon. The proposed approach quantitatively evaluates real-time system resilience to extreme typhoons, and it can also identify the system critical areas and assess the benefits of different resilience enhancement strategies. The resilience assessment framework can also be applied to other extreme scenarios and contribute to planning and construction of strong smart grid in the future.http://www.sciencedirect.com/science/article/pii/S2352484723005772Power transmission systemResilience assessmentGlobal maximum flowSequential Monte Carlo simulation |
| spellingShingle | Chunming Liu Jiawei Yu Xi Zhu Donghui Wang Xiyan Guan Global maximum flow based time-domain simulation method for evaluating power system resilience Energy Reports Power transmission system Resilience assessment Global maximum flow Sequential Monte Carlo simulation |
| title | Global maximum flow based time-domain simulation method for evaluating power system resilience |
| title_full | Global maximum flow based time-domain simulation method for evaluating power system resilience |
| title_fullStr | Global maximum flow based time-domain simulation method for evaluating power system resilience |
| title_full_unstemmed | Global maximum flow based time-domain simulation method for evaluating power system resilience |
| title_short | Global maximum flow based time-domain simulation method for evaluating power system resilience |
| title_sort | global maximum flow based time domain simulation method for evaluating power system resilience |
| topic | Power transmission system Resilience assessment Global maximum flow Sequential Monte Carlo simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723005772 |
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