Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents
With the widespread application of distributed power sources and energy storage devices, distribution networks exhibit more unknown characteristics. Emergency incidents in the power system pose a significant threat to the stable and secure operation of the grid. In order to analyze the security carr...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2025-04-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2419 |
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| author | LI Jiayu WANG Jianjun LIU Yanchao LIU Jie LI Hao JIANG Junjie TENG Jialun |
| author_facet | LI Jiayu WANG Jianjun LIU Yanchao LIU Jie LI Hao JIANG Junjie TENG Jialun |
| author_sort | LI Jiayu |
| collection | DOAJ |
| description | With the widespread application of distributed power sources and energy storage devices, distribution networks exhibit more unknown characteristics. Emergency incidents in the power system pose a significant threat to the stable and secure operation of the grid. In order to analyze the security carrying capacity of distribution networks, we first construct node influence indicators based on M-order neighbor quantity and entropy theory. Subsequently, considering the impact of emergency incidents on the distribution of power flows, a security carrying capacity evaluation method that considers power flow distribution balance in the grid is proposed. Additionally, a strategy for selecting critical safety constraints based on an iterative method is introduced, enhancing solution efficiency by focusing solely on crucial safety constraints in the optimization model to satisfy all feasible power flows. Finally, the evaluation model is applied to analyze the IEEE 33-node test system, validating the proposed approach for analyzing the security carrying capacity of distribution networks under emergency incidents while ensuring economic viability and aligning with current development needs in distribution networks. |
| format | Article |
| id | doaj-art-8f3e5080d18443da8259dfabf4918254 |
| institution | DOAJ |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-8f3e5080d18443da8259dfabf49182542025-08-20T02:43:10ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832025-04-01300211412110.15938/j.jhust.2025.02.012Assessment of Distribution Network Security Carrying Capacity under Emergency IncidentsLI Jiayu0WANG Jianjun1LIU Yanchao2LIU Jie3LI Hao4JIANG Junjie5TENG Jialun6 Luohe Power Supply Company, State Grid Henan Electric Power Company, Luohe 462300, ChinaLuohe Power Supply Company, State Grid Henan Electric Power Company, Luohe 462300, ChinaLuohe Power Supply Company, State Grid Henan Electric Power Company, Luohe 462300, ChinaLuohe Power Supply Company, State Grid Henan Electric Power Company, Luohe 462300, ChinaLuohe Power Supply Company, State Grid Henan Electric Power Company, Luohe 462300, ChinaSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200030, ChinaSchool of Electrical Engineering, Shanghai Electric Power University, Shanghai 200090, ChinaWith the widespread application of distributed power sources and energy storage devices, distribution networks exhibit more unknown characteristics. Emergency incidents in the power system pose a significant threat to the stable and secure operation of the grid. In order to analyze the security carrying capacity of distribution networks, we first construct node influence indicators based on M-order neighbor quantity and entropy theory. Subsequently, considering the impact of emergency incidents on the distribution of power flows, a security carrying capacity evaluation method that considers power flow distribution balance in the grid is proposed. Additionally, a strategy for selecting critical safety constraints based on an iterative method is introduced, enhancing solution efficiency by focusing solely on crucial safety constraints in the optimization model to satisfy all feasible power flows. Finally, the evaluation model is applied to analyze the IEEE 33-node test system, validating the proposed approach for analyzing the security carrying capacity of distribution networks under emergency incidents while ensuring economic viability and aligning with current development needs in distribution networks.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2419carrying capacitynode influence indicatorsm-order neighbor numbersecurity constraintsbalance degree of power flow distribution |
| spellingShingle | LI Jiayu WANG Jianjun LIU Yanchao LIU Jie LI Hao JIANG Junjie TENG Jialun Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents Journal of Harbin University of Science and Technology carrying capacity node influence indicators m-order neighbor number security constraints balance degree of power flow distribution |
| title | Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents |
| title_full | Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents |
| title_fullStr | Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents |
| title_full_unstemmed | Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents |
| title_short | Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents |
| title_sort | assessment of distribution network security carrying capacity under emergency incidents |
| topic | carrying capacity node influence indicators m-order neighbor number security constraints balance degree of power flow distribution |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2419 |
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