Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model
The current method of electricity stealing has changed from simple to high-tech. In this paper, combined with HPLC communication technology and measurement equipment, a three-layer progressive analysis model is established. The model fully exploits the advantages of HPLC in deepening application fun...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723012957 |
| _version_ | 1797682809816481792 |
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| author | Yang Ji Zhihui Li Jianbing Ji Haihang He Zehao He Xiaohui Li Yongxing Teng |
| author_facet | Yang Ji Zhihui Li Jianbing Ji Haihang He Zehao He Xiaohui Li Yongxing Teng |
| author_sort | Yang Ji |
| collection | DOAJ |
| description | The current method of electricity stealing has changed from simple to high-tech. In this paper, combined with HPLC communication technology and measurement equipment, a three-layer progressive analysis model is established. The model fully exploits the advantages of HPLC in deepening application functions. Based on the edge computing resources and processing capabilities of the current electricity consumption information acquisition system, it realizes the identification of electricity theft behavior, the evaluation of user suspicion, the forensics of electricity theft, and the minute-level dispatch response to meet the actual power theft on site. |
| first_indexed | 2024-03-12T00:05:13Z |
| format | Article |
| id | doaj.art-7590e88d44b644f3856b7dd7f0cf8cf7 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T00:05:13Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-7590e88d44b644f3856b7dd7f0cf8cf72023-09-17T04:56:58ZengElsevierEnergy Reports2352-48472023-10-019428432Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing modelYang Ji0Zhihui Li1Jianbing Ji2Haihang He3Zehao He4Xiaohui Li5Yongxing Teng6Marketing Service Center (Measurement Center), State Grid Tianjin Electric Power Company, Tianjin 300121, China; Corresponding author.Tianjin Transmission and Transformation Engineering Co., LTD., State Grid Tianjin Electric Power Company, Tianjin 300160, ChinaLiaoning Dongfang Power Generation Co., Ltd., Fushun 113007, Liaoning, ChinaMarketing Department, State Grid Tianjin Electric Power Company, Tianjin 300010, ChinaMarketing Department, State Grid Tianjin Electric Power Company, Tianjin 300010, ChinaMarketing Service Center (Measurement Center), State Grid Tianjin Electric Power Company, Tianjin 300121, ChinaMarketing Service Center (Measurement Center), State Grid Tianjin Electric Power Company, Tianjin 300121, ChinaThe current method of electricity stealing has changed from simple to high-tech. In this paper, combined with HPLC communication technology and measurement equipment, a three-layer progressive analysis model is established. The model fully exploits the advantages of HPLC in deepening application functions. Based on the edge computing resources and processing capabilities of the current electricity consumption information acquisition system, it realizes the identification of electricity theft behavior, the evaluation of user suspicion, the forensics of electricity theft, and the minute-level dispatch response to meet the actual power theft on site.http://www.sciencedirect.com/science/article/pii/S2352484723012957Distribution networkElectricity theftThree-layer progressive modelFour-dimensional indexIntelligent diagnosis |
| spellingShingle | Yang Ji Zhihui Li Jianbing Ji Haihang He Zehao He Xiaohui Li Yongxing Teng Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model Energy Reports Distribution network Electricity theft Three-layer progressive model Four-dimensional index Intelligent diagnosis |
| title | Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model |
| title_full | Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model |
| title_fullStr | Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model |
| title_full_unstemmed | Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model |
| title_short | Intelligent diagnosis method for electricity theft behavior in distribution network based on three-layer edge computing model |
| title_sort | intelligent diagnosis method for electricity theft behavior in distribution network based on three layer edge computing model |
| topic | Distribution network Electricity theft Three-layer progressive model Four-dimensional index Intelligent diagnosis |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723012957 |
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