Characteristic analysis of 10 kV bus load based on integrated clustering technology
Modern power system is stepping into the era of big data. It is necessary to widely collect multi-source data and mine the load characteristics of load data from different angles. This paper introduces an efficient comprehensive characteristic analysis method of 10 kV bus load based on integrated cl...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722022296 |
| _version_ | 1797952804738826240 |
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| author | Kai Liang Yu Liu Huan He Xiangbo Zhu Zhen Jiao Qi Wang Rui Hao |
| author_facet | Kai Liang Yu Liu Huan He Xiangbo Zhu Zhen Jiao Qi Wang Rui Hao |
| author_sort | Kai Liang |
| collection | DOAJ |
| description | Modern power system is stepping into the era of big data. It is necessary to widely collect multi-source data and mine the load characteristics of load data from different angles. This paper introduces an efficient comprehensive characteristic analysis method of 10 kV bus load based on integrated clustering technology, which includes clustering the load from vertical and horizontal dimensions respectively to obtain the clustering results under the unified time frame. Firstly, K-means clustering and hierarchical clustering are used to establish the load characteristic model for the whole year’s load data, and the daily load characteristics and hourly load characteristics are obtained. Then, the distribution time area of the maximum load and the normal operation threshold of the load are analyzed. Finally, the feasibility of this method is verified through the 24 * 365 load data, which provides convenience for the subsequent power system optimization. |
| first_indexed | 2024-04-10T22:52:54Z |
| format | Article |
| id | doaj.art-b92ea6acaf224199a8dfd099fef21082 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T22:52:54Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-b92ea6acaf224199a8dfd099fef210822023-01-15T04:22:08ZengElsevierEnergy Reports2352-48472022-11-018413419Characteristic analysis of 10 kV bus load based on integrated clustering technologyKai Liang0Yu Liu1Huan He2Xiangbo Zhu3Zhen Jiao4Qi Wang5Rui Hao6State Grid Anshan power supply company, Anshan 114000, ChinaState Grid Anshan power supply company, Anshan 114000, ChinaCorresponding author.; State Grid Anshan power supply company, Anshan 114000, ChinaState Grid Anshan power supply company, Anshan 114000, ChinaState Grid Anshan power supply company, Anshan 114000, ChinaState Grid Anshan power supply company, Anshan 114000, ChinaState Grid Anshan power supply company, Anshan 114000, ChinaModern power system is stepping into the era of big data. It is necessary to widely collect multi-source data and mine the load characteristics of load data from different angles. This paper introduces an efficient comprehensive characteristic analysis method of 10 kV bus load based on integrated clustering technology, which includes clustering the load from vertical and horizontal dimensions respectively to obtain the clustering results under the unified time frame. Firstly, K-means clustering and hierarchical clustering are used to establish the load characteristic model for the whole year’s load data, and the daily load characteristics and hourly load characteristics are obtained. Then, the distribution time area of the maximum load and the normal operation threshold of the load are analyzed. Finally, the feasibility of this method is verified through the 24 * 365 load data, which provides convenience for the subsequent power system optimization.http://www.sciencedirect.com/science/article/pii/S2352484722022296K-means clusteringHierarchical clusteringLoad characteristic |
| spellingShingle | Kai Liang Yu Liu Huan He Xiangbo Zhu Zhen Jiao Qi Wang Rui Hao Characteristic analysis of 10 kV bus load based on integrated clustering technology Energy Reports K-means clustering Hierarchical clustering Load characteristic |
| title | Characteristic analysis of 10 kV bus load based on integrated clustering technology |
| title_full | Characteristic analysis of 10 kV bus load based on integrated clustering technology |
| title_fullStr | Characteristic analysis of 10 kV bus load based on integrated clustering technology |
| title_full_unstemmed | Characteristic analysis of 10 kV bus load based on integrated clustering technology |
| title_short | Characteristic analysis of 10 kV bus load based on integrated clustering technology |
| title_sort | characteristic analysis of 10 kv bus load based on integrated clustering technology |
| topic | K-means clustering Hierarchical clustering Load characteristic |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722022296 |
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