Key Transmission Section Search Strategy Based on Improved Clustering Algorithm
In order to effectively avoid the occurrence of cascading failure due to the loss of faulted or overloaded lines, a key transmission section search method based on an improved fuzzy C-means clustering algorithm is proposed. Firstly, an improved particle swarm optimization algorithm is employed to up...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2022-06-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202012131 |
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| author | Jie WANG Ming DING Lei SUN Liubing WANG |
| author_facet | Jie WANG Ming DING Lei SUN Liubing WANG |
| author_sort | Jie WANG |
| collection | DOAJ |
| description | In order to effectively avoid the occurrence of cascading failure due to the loss of faulted or overloaded lines, a key transmission section search method based on an improved fuzzy C-means clustering algorithm is proposed. Firstly, an improved particle swarm optimization algorithm is employed to update the clustering center, so that the problem that the clustering algorithm is sensitive to the initial clustering center can be solved. Then the initial transmission section is obtained based on the improved clustering algorithm. The Floyd algorithm is used to search the shortest circuit and sub-shortest circuit with the disconnected lines, and the missing lines are added to the initial transmission sections to form the candidate transmission sections. Finally, the composite factor criterion is proposed to determine the key transmission sections. Case studies are made on the IEEE 14-bus and IEEE 118-bus standard systems, and it is proved that the proposed method can accurately search out the lines in the system that are significantly affected by the cut-off lines and may have the risk of cascading tripping, i.e. the key transmission sections. The results show that the key transmission sections obtained by this method are more practical and valuable in engineering. |
| format | Article |
| id | doaj-art-e4cb308be78c4b64bdffb32076edfd62 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2022-06-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-e4cb308be78c4b64bdffb32076edfd622025-08-20T02:04:30ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-06-01556869410.11930/j.issn.1004-9649.202012131zgdl-55-03-wangjieKey Transmission Section Search Strategy Based on Improved Clustering AlgorithmJie WANG0Ming DING1Lei SUN2Liubing WANG3School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaIn order to effectively avoid the occurrence of cascading failure due to the loss of faulted or overloaded lines, a key transmission section search method based on an improved fuzzy C-means clustering algorithm is proposed. Firstly, an improved particle swarm optimization algorithm is employed to update the clustering center, so that the problem that the clustering algorithm is sensitive to the initial clustering center can be solved. Then the initial transmission section is obtained based on the improved clustering algorithm. The Floyd algorithm is used to search the shortest circuit and sub-shortest circuit with the disconnected lines, and the missing lines are added to the initial transmission sections to form the candidate transmission sections. Finally, the composite factor criterion is proposed to determine the key transmission sections. Case studies are made on the IEEE 14-bus and IEEE 118-bus standard systems, and it is proved that the proposed method can accurately search out the lines in the system that are significantly affected by the cut-off lines and may have the risk of cascading tripping, i.e. the key transmission sections. The results show that the key transmission sections obtained by this method are more practical and valuable in engineering.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202012131section searchpower flow transferfuzzy clusteringcompound factorshortest circuit |
| spellingShingle | Jie WANG Ming DING Lei SUN Liubing WANG Key Transmission Section Search Strategy Based on Improved Clustering Algorithm Zhongguo dianli section search power flow transfer fuzzy clustering compound factor shortest circuit |
| title | Key Transmission Section Search Strategy Based on Improved Clustering Algorithm |
| title_full | Key Transmission Section Search Strategy Based on Improved Clustering Algorithm |
| title_fullStr | Key Transmission Section Search Strategy Based on Improved Clustering Algorithm |
| title_full_unstemmed | Key Transmission Section Search Strategy Based on Improved Clustering Algorithm |
| title_short | Key Transmission Section Search Strategy Based on Improved Clustering Algorithm |
| title_sort | key transmission section search strategy based on improved clustering algorithm |
| topic | section search power flow transfer fuzzy clustering compound factor shortest circuit |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202012131 |
| work_keys_str_mv | AT jiewang keytransmissionsectionsearchstrategybasedonimprovedclusteringalgorithm AT mingding keytransmissionsectionsearchstrategybasedonimprovedclusteringalgorithm AT leisun keytransmissionsectionsearchstrategybasedonimprovedclusteringalgorithm AT liubingwang keytransmissionsectionsearchstrategybasedonimprovedclusteringalgorithm |