Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching
The characteristics of soft switching grid-connected operation which can improve the power supply elasticity of distribution network and optimize the operation structure of power grid have not been applied. A collaborative optimization method for distribution network reconfiguration maintenance...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2024-04-01
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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=2316 |
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| author | WANG Jianjun RU Wei SHI Guangnan SU Xiaoyun WANG Yifei JIANG Wei |
| author_facet | WANG Jianjun RU Wei SHI Guangnan SU Xiaoyun WANG Yifei JIANG Wei |
| author_sort | WANG Jianjun |
| collection | DOAJ |
| description |
The characteristics of soft switching grid-connected operation which can improve the power supply elasticity of distribution network and optimize the operation structure of power grid have not been applied. A collaborative optimization method for distribution network reconfiguration maintenance considering intelligent soft switching is proposed. A distribution network reconfiguration model with the objective of minimizing network loss is established. Considering the maintenance cost and operation cost, the collaborative optimization decision model and solution method of distribution network reconfiguration and maintenance are established. The improved IEEE 33 system is used for example analysis. The simulation results show that the average network loss of the system is reduced by 35. 57 % and the overall voltage deviation of the system is reduced by 17. 2 % after the collaborative optimization of reconfiguration and maintenance. It is verified that the collaborative optimization of distribution network reconfiguration and maintenance considering intelligent soft switching can effectively improve the economy and safety of distribution network operation. |
| format | Article |
| id | doaj-art-367c6388f1694d889bee6ae28f306a4c |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2024-04-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-367c6388f1694d889bee6ae28f306a4c2025-08-20T03:50:22ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832024-04-012902859310.15938/j.jhust.2024.02.011Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft SwitchingWANG Jianjun0RU Wei1SHI Guangnan2SU Xiaoyun3WANG Yifei4JIANG Wei5Shangyu Power Supply Company, State Grid Zhejiang Electric Power Co. Ltd. , Shaoxing 312300 , ChinaShangyu Power Supply Company, State Grid Zhejiang Electric Power Co. Ltd. , Shaoxing 312300 , ChinaShangyu Power Supply Company, State Grid Zhejiang Electric Power Co. Ltd. , Shaoxing 312300 , ChinaSchool of Electrical Engineering Southeast University, Nanjing 210096 , ChinaSchool of Electrical Engineering Southeast University, Nanjing 210096 , ChinaSchool of Electrical Engineering Southeast University, Nanjing 210096 , China The characteristics of soft switching grid-connected operation which can improve the power supply elasticity of distribution network and optimize the operation structure of power grid have not been applied. A collaborative optimization method for distribution network reconfiguration maintenance considering intelligent soft switching is proposed. A distribution network reconfiguration model with the objective of minimizing network loss is established. Considering the maintenance cost and operation cost, the collaborative optimization decision model and solution method of distribution network reconfiguration and maintenance are established. The improved IEEE 33 system is used for example analysis. The simulation results show that the average network loss of the system is reduced by 35. 57 % and the overall voltage deviation of the system is reduced by 17. 2 % after the collaborative optimization of reconfiguration and maintenance. It is verified that the collaborative optimization of distribution network reconfiguration and maintenance considering intelligent soft switching can effectively improve the economy and safety of distribution network operation.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2316distribution network reconfigurationmaintenance plancollaborative optimizationsoft open pointsresilient distribution network |
| spellingShingle | WANG Jianjun RU Wei SHI Guangnan SU Xiaoyun WANG Yifei JIANG Wei Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching Journal of Harbin University of Science and Technology distribution network reconfiguration maintenance plan collaborative optimization soft open points resilient distribution network |
| title | Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching |
| title_full | Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching |
| title_fullStr | Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching |
| title_full_unstemmed | Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching |
| title_short | Collaborative Optimization Decision of Distribution Network Reconfiguration and Maintenance Considering Soft Switching |
| title_sort | collaborative optimization decision of distribution network reconfiguration and maintenance considering soft switching |
| topic | distribution network reconfiguration maintenance plan collaborative optimization soft open points resilient distribution network |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2316 |
| work_keys_str_mv | AT wangjianjun collaborativeoptimizationdecisionofdistributionnetworkreconfigurationandmaintenanceconsideringsoftswitching AT ruwei collaborativeoptimizationdecisionofdistributionnetworkreconfigurationandmaintenanceconsideringsoftswitching AT shiguangnan collaborativeoptimizationdecisionofdistributionnetworkreconfigurationandmaintenanceconsideringsoftswitching AT suxiaoyun collaborativeoptimizationdecisionofdistributionnetworkreconfigurationandmaintenanceconsideringsoftswitching AT wangyifei collaborativeoptimizationdecisionofdistributionnetworkreconfigurationandmaintenanceconsideringsoftswitching AT jiangwei collaborativeoptimizationdecisionofdistributionnetworkreconfigurationandmaintenanceconsideringsoftswitching |