Electric vehicle charging load disaggregation based on ICA-R
Non-intrusive load monitoring (NILM) technology is an important means to realize the detailed monitoring of residential power load in a smart grid. The development of electric vehicles not only brings positive effects to the environment but also brings adverse effects to the grid and potential fire...
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| Format: | Article |
| Language: | zho |
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Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.
2025-07-01
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| Series: | Diance yu yibiao |
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| Online Access: | http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20230110004&flag=1&journal_id=dcyyb&year_id=2025 |
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| author | ZHENG Wenjie LI Shiming WANG Yi LU Jiangang ZHANG Jinjiang ZHAO Ruifeng |
| author_facet | ZHENG Wenjie LI Shiming WANG Yi LU Jiangang ZHANG Jinjiang ZHAO Ruifeng |
| author_sort | ZHENG Wenjie |
| collection | DOAJ |
| description | Non-intrusive load monitoring (NILM) technology is an important means to realize the detailed monitoring of residential power load in a smart grid. The development of electric vehicles not only brings positive effects to the environment but also brings adverse effects to the grid and potential fire hazards. Therefore, it is of great significance to monitor the charging load of electric vehicles. In this paper, an electric vehicle charging load extraction method is proposed based on independent component analysis with reference (ICA-R), and signal reconstruction is applied to estimate the amplitude and charging period of the electric vehicle charging. Experiments are carried out using the data in the Pecan Street database, and the experiments prove that the proposed method has high accuracy. |
| format | Article |
| id | doaj-art-bb74c5a70ca04c00aeff193ee176aec0 |
| institution | Kabale University |
| issn | 1001-1390 |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. |
| record_format | Article |
| series | Diance yu yibiao |
| spelling | doaj-art-bb74c5a70ca04c00aeff193ee176aec02025-08-20T03:36:45ZzhoHarbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.Diance yu yibiao1001-13902025-07-01627859110.19753/j.issn1001-1390.2025.07.0101001-1390(2025)07-0085-07Electric vehicle charging load disaggregation based on ICA-RZHENG Wenjie0LI Shiming1WANG Yi2LU Jiangang3ZHANG Jinjiang4ZHAO Ruifeng5Electric Power Dispatching and Control Center, Guangdong Power Grid Co., Ltd., Guangzhou 510600, ChinaElectric Power Dispatching and Control Center, Guangdong Power Grid Co., Ltd., Guangzhou 510600, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaElectric Power Dispatching and Control Center, Guangdong Power Grid Co., Ltd., Guangzhou 510600, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaElectric Power Dispatching and Control Center, Guangdong Power Grid Co., Ltd., Guangzhou 510600, ChinaNon-intrusive load monitoring (NILM) technology is an important means to realize the detailed monitoring of residential power load in a smart grid. The development of electric vehicles not only brings positive effects to the environment but also brings adverse effects to the grid and potential fire hazards. Therefore, it is of great significance to monitor the charging load of electric vehicles. In this paper, an electric vehicle charging load extraction method is proposed based on independent component analysis with reference (ICA-R), and signal reconstruction is applied to estimate the amplitude and charging period of the electric vehicle charging. Experiments are carried out using the data in the Pecan Street database, and the experiments prove that the proposed method has high accuracy.http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20230110004&flag=1&journal_id=dcyyb&year_id=2025non-intrusive load monitoringelectric vehicle charging loadindependent component analysis with reference |
| spellingShingle | ZHENG Wenjie LI Shiming WANG Yi LU Jiangang ZHANG Jinjiang ZHAO Ruifeng Electric vehicle charging load disaggregation based on ICA-R Diance yu yibiao non-intrusive load monitoring electric vehicle charging load independent component analysis with reference |
| title | Electric vehicle charging load disaggregation based on ICA-R |
| title_full | Electric vehicle charging load disaggregation based on ICA-R |
| title_fullStr | Electric vehicle charging load disaggregation based on ICA-R |
| title_full_unstemmed | Electric vehicle charging load disaggregation based on ICA-R |
| title_short | Electric vehicle charging load disaggregation based on ICA-R |
| title_sort | electric vehicle charging load disaggregation based on ica r |
| topic | non-intrusive load monitoring electric vehicle charging load independent component analysis with reference |
| url | http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20230110004&flag=1&journal_id=dcyyb&year_id=2025 |
| work_keys_str_mv | AT zhengwenjie electricvehiclechargingloaddisaggregationbasedonicar AT lishiming electricvehiclechargingloaddisaggregationbasedonicar AT wangyi electricvehiclechargingloaddisaggregationbasedonicar AT lujiangang electricvehiclechargingloaddisaggregationbasedonicar AT zhangjinjiang electricvehiclechargingloaddisaggregationbasedonicar AT zhaoruifeng electricvehiclechargingloaddisaggregationbasedonicar |