Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ
In electricity market environment，reasonable calculation of available transmission capacity can protect the economic interests of both parties. In order to solve the multi-objective optimization problem，the non-dominated sorting genetic algorithm ( NSGA-II) is premature and has poor convergence perf...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2021-08-01
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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=1991 |
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| author | JIANG Jian ZUO Hong-ji XIONG Hua-hua LI Shu-qiang FU Guo |
| author_facet | JIANG Jian ZUO Hong-ji XIONG Hua-hua LI Shu-qiang FU Guo |
| author_sort | JIANG Jian |
| collection | DOAJ |
| description | In electricity market environment，reasonable calculation of available transmission capacity can protect the economic interests of both parties. In order to solve the multi-objective optimization problem，the non-dominated sorting genetic algorithm ( NSGA-II) is premature and has poor convergence performance. In this paper， it is improved to build a variety of groups to enhance the competitive advantage between the populations，and the multi-crossing operators are used to iterate alternately to enhance the local search ability of the individuals in the optimal solution concentration，so that they can converge to the optimal solution quickly. In order to keep more dominant individuals in various groups，the sub-population size is adjusted automatically. Taking the ATC coordination optimization from a certain region in China to the region in and out of the province as an example，the result of the improved NSGA-II algorithm is superior to that of NSGA-II algorithm in convergence performance and more reasonable solution results. |
| format | Article |
| id | doaj-art-897fc7480a09499fbb26d9bb74bf0885 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2021-08-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-897fc7480a09499fbb26d9bb74bf08852025-08-20T03:37:05ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832021-08-012604384510.15938/j.jhust.2021.04.006Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-ⅡJIANG Jian0ZUO Hong-ji1XIONG Hua-hua2LI Shu-qiang3FU Guo4State Grid Henan Electric Power Company Xinyang Power Supply Company，Xinyang 464000，ChinaState Grid Henan Electric Power Company Xinyang Power Supply Company，Xinyang 464000，ChinaState Grid Henan Electric Power Company Xinyang Power Supply Company，Xinyang 464000，ChinaState Grid Henan Electric Power Company Xinyang Power Supply Company，Xinyang 464000，ChinaSchool of Electric Power Engineering，Shanghai University of Electric Power，Shanghai 200090，ChinaIn electricity market environment，reasonable calculation of available transmission capacity can protect the economic interests of both parties. In order to solve the multi-objective optimization problem，the non-dominated sorting genetic algorithm ( NSGA-II) is premature and has poor convergence performance. In this paper， it is improved to build a variety of groups to enhance the competitive advantage between the populations，and the multi-crossing operators are used to iterate alternately to enhance the local search ability of the individuals in the optimal solution concentration，so that they can converge to the optimal solution quickly. In order to keep more dominant individuals in various groups，the sub-population size is adjusted automatically. Taking the ATC coordination optimization from a certain region in China to the region in and out of the province as an example，the result of the improved NSGA-II algorithm is superior to that of NSGA-II algorithm in convergence performance and more reasonable solution results.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1991multi region atccoordinated optimizationimproved nsga-ii |
| spellingShingle | JIANG Jian ZUO Hong-ji XIONG Hua-hua LI Shu-qiang FU Guo Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ Journal of Harbin University of Science and Technology multi region atc coordinated optimization improved nsga-ii |
| title | Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ |
| title_full | Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ |
| title_fullStr | Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ |
| title_full_unstemmed | Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ |
| title_short | Coordination Decision of Multi Ｒegions Available Transmission Capacity Based on Improved NSGA-Ⅱ |
| title_sort | coordination decision of multi regions available transmission capacity based on improved nsga ii |
| topic | multi region atc coordinated optimization improved nsga-ii |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1991 |
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