Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration
This paper introduces a post-disaster load restoration approach for the distribution grid, utilizing network reconfiguration (NR) and dispatching of repair crews (RCs) to significantly enhance grid resilience. We propose an RC–NR coordinated model that leverages diverse flexible resources within the...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1369452/full |
| _version_ | 1797197687601233920 |
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| author | Fuju Zhou Peng Zhou Tianchen Shi Jiangping Jing Gaige Liang Shengrong Xu Jianda Zhou Kai Yang |
| author_facet | Fuju Zhou Peng Zhou Tianchen Shi Jiangping Jing Gaige Liang Shengrong Xu Jianda Zhou Kai Yang |
| author_sort | Fuju Zhou |
| collection | DOAJ |
| description | This paper introduces a post-disaster load restoration approach for the distribution grid, utilizing network reconfiguration (NR) and dispatching of repair crews (RCs) to significantly enhance grid resilience. We propose an RC–NR coordinated model that leverages diverse flexible resources within the active distribution network (ADN), aimed at not only enhancing the grid’s resilience level but also efficiently mending the fault lines. The model introduces fault repairing and sequential NR coupled constraints to devise an optimal resilience strategy within temporal domain cooperation, focusing on minimizing repair and penalty costs associated with the restoration process. To tackle the challenge of computational complexity, the nonlinear model is reformulated into a mixed-integer second-order cone programming model. The efficacy of the approach is validated through case studies on an IEEE 33-bus system, in which simulation results demonstrate a considerable improvement in grid resilience, achieving optimal load recovery with reduced restoration time and costs. The proposed approach outperforms traditional methods with optimal repair sequence and RC scheduling, aligned with NR efforts, and contributes to an improved system resilience level. |
| first_indexed | 2024-04-24T06:47:56Z |
| format | Article |
| id | doaj.art-9cd614c64758447499ba60c04d887021 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-24T06:47:56Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-9cd614c64758447499ba60c04d8870212024-04-22T15:12:41ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-04-011210.3389/fenrg.2024.13694521369452Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restorationFuju Zhou0Peng Zhou1Tianchen Shi2Jiangping Jing3Gaige Liang4Shengrong Xu5Jianda Zhou6Kai Yang7State Grid Suqian Power Supply Company, Suqian, ChinaState Grid Xuzhou Power Supply Company, Xuzhou, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing, ChinaState Grid Jiangsu Electric Power Co., Ltd., Nanjing, ChinaState Grid Xuzhou Power Supply Company, Xuzhou, ChinaState Grid Suqian Power Supply Company, Suqian, ChinaState Grid Suqian Power Supply Company, Suqian, ChinaState Grid Suqian Power Supply Company, Suqian, ChinaThis paper introduces a post-disaster load restoration approach for the distribution grid, utilizing network reconfiguration (NR) and dispatching of repair crews (RCs) to significantly enhance grid resilience. We propose an RC–NR coordinated model that leverages diverse flexible resources within the active distribution network (ADN), aimed at not only enhancing the grid’s resilience level but also efficiently mending the fault lines. The model introduces fault repairing and sequential NR coupled constraints to devise an optimal resilience strategy within temporal domain cooperation, focusing on minimizing repair and penalty costs associated with the restoration process. To tackle the challenge of computational complexity, the nonlinear model is reformulated into a mixed-integer second-order cone programming model. The efficacy of the approach is validated through case studies on an IEEE 33-bus system, in which simulation results demonstrate a considerable improvement in grid resilience, achieving optimal load recovery with reduced restoration time and costs. The proposed approach outperforms traditional methods with optimal repair sequence and RC scheduling, aligned with NR efforts, and contributes to an improved system resilience level.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1369452/fullresilienceactive distribution networkrepair crewsrestorationload recovery |
| spellingShingle | Fuju Zhou Peng Zhou Tianchen Shi Jiangping Jing Gaige Liang Shengrong Xu Jianda Zhou Kai Yang Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration Frontiers in Energy Research resilience active distribution network repair crews restoration load recovery |
| title | Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration |
| title_full | Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration |
| title_fullStr | Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration |
| title_full_unstemmed | Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration |
| title_short | Resilience-oriented repair crew and network reconfiguration coordinated operational scheduling for post-event restoration |
| title_sort | resilience oriented repair crew and network reconfiguration coordinated operational scheduling for post event restoration |
| topic | resilience active distribution network repair crews restoration load recovery |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1369452/full |
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