Design of Laboratory Algorithm Model for Grid Backbone
The transmission network is the core of the power network and plays an important role in the power network planning and defense. According to different node weights and elements of the transmission network, different algorithm models can be used to conduct in-depth research on specific problems. Bas...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2022-12-01
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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=2166 |
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| author | HUANG Xiao-ming CHE Jian-tao FAN Bing LI Xin-qi |
| author_facet | HUANG Xiao-ming CHE Jian-tao FAN Bing LI Xin-qi |
| author_sort | HUANG Xiao-ming |
| collection | DOAJ |
| description | The transmission network is the core of the power network and plays an important role in the power network planning and defense. According to different node weights and elements of the transmission network, different algorithm models can be used to conduct in-depth research on specific problems. Based on the node topology importance, this paper establishes the importance index of different load nodes in the transmission network, and demonstrates the evolutionary construction method of the backbone grid of the transmission network. Through the improved Dijkstra algorithm, the shortest path from the initial node to the terminal node is obtained and the shortest path from the initial node to any node is obtained. The existing data of the project team in the laboratory is taken as an example for simulation and a concise analysis of the experimental results. The results show that the improved Dijkstra algorithm combined with the simplified model of the grid backbone architecture can effectively reflect the structure of the transmission network, thus establishing the backbone grid model of the transmission network. Compared with the backbone network analysis of the laboratory case, the reliability of the algorithm and model is verified, which has a forward-looking significance for the development and design planning of the future grid. |
| format | Article |
| id | doaj-art-dc16e64a4d5840e183734957b641f2ea |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2022-12-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-dc16e64a4d5840e183734957b641f2ea2025-08-20T03:51:40ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832022-12-01270612413110.15938/j.jhust.2022.06.015Design of Laboratory Algorithm Model for Grid BackboneHUANG Xiao-ming0CHE Jian-tao1FAN Bing2LI Xin-qi3School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaChifeng Power Supply Co. , Ltd. , Chifeng 024000, ChinaThe transmission network is the core of the power network and plays an important role in the power network planning and defense. According to different node weights and elements of the transmission network, different algorithm models can be used to conduct in-depth research on specific problems. Based on the node topology importance, this paper establishes the importance index of different load nodes in the transmission network, and demonstrates the evolutionary construction method of the backbone grid of the transmission network. Through the improved Dijkstra algorithm, the shortest path from the initial node to the terminal node is obtained and the shortest path from the initial node to any node is obtained. The existing data of the project team in the laboratory is taken as an example for simulation and a concise analysis of the experimental results. The results show that the improved Dijkstra algorithm combined with the simplified model of the grid backbone architecture can effectively reflect the structure of the transmission network, thus establishing the backbone grid model of the transmission network. Compared with the backbone network analysis of the laboratory case, the reliability of the algorithm and model is verified, which has a forward-looking significance for the development and design planning of the future grid.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2166transmission gridbackbone gridimportant loaddijkstra algorithmnode weight |
| spellingShingle | HUANG Xiao-ming CHE Jian-tao FAN Bing LI Xin-qi Design of Laboratory Algorithm Model for Grid Backbone Journal of Harbin University of Science and Technology transmission grid backbone grid important load dijkstra algorithm node weight |
| title | Design of Laboratory Algorithm Model for Grid Backbone |
| title_full | Design of Laboratory Algorithm Model for Grid Backbone |
| title_fullStr | Design of Laboratory Algorithm Model for Grid Backbone |
| title_full_unstemmed | Design of Laboratory Algorithm Model for Grid Backbone |
| title_short | Design of Laboratory Algorithm Model for Grid Backbone |
| title_sort | design of laboratory algorithm model for grid backbone |
| topic | transmission grid backbone grid important load dijkstra algorithm node weight |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2166 |
| work_keys_str_mv | AT huangxiaoming designoflaboratoryalgorithmmodelforgridbackbone AT chejiantao designoflaboratoryalgorithmmodelforgridbackbone AT fanbing designoflaboratoryalgorithmmodelforgridbackbone AT lixinqi designoflaboratoryalgorithmmodelforgridbackbone |