A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors
In view of the existing verification methods of electric meters, there are problems such as high maintenance cost, poor accuracy, and difficulty in full coverage, etc. Starting from the perspective of analyzing the large-scale measured data collected by user-side electric meters, an online estimatio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/5/805 |
| _version_ | 1798025589744992256 |
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| author | Xiangyu Kong Yuying Ma Xin Zhao Ye Li Yongxing Teng |
| author_facet | Xiangyu Kong Yuying Ma Xin Zhao Ye Li Yongxing Teng |
| author_sort | Xiangyu Kong |
| collection | DOAJ |
| description | In view of the existing verification methods of electric meters, there are problems such as high maintenance cost, poor accuracy, and difficulty in full coverage, etc. Starting from the perspective of analyzing the large-scale measured data collected by user-side electric meters, an online estimation method for the operating error of electric meters was proposed, which uses the recursive least squares (RLS) and introduces a double-parameter method with dynamic forgetting factors <i>λ<sub>a</sub></i> and <i>λ<sub>b</sub></i> to track the meter parameters changes in real time. Firstly, the obtained measured data are preprocessed, and the abnormal data such as null data and light load data are eliminated by an appropriate clustering method, so as to screen out the measured data of the similar operational states of each user. Then equations relating the head electric meter in the substation and each users’ electric meter and line loss based on the law of conservation of electric energy are established. Afterwards, the recursive least squares algorithm with double-parameter is used to estimate the parameters of line loss and the electric meter error. Finally, the effects of double dynamic forgetting factors, double constant forgetting factors and single forgetting factor on the accuracy of estimated error of electric meter are discussed. Through the program-controlled load simulation system, the proposed method is verified with higher accuracy and practicality. |
| first_indexed | 2024-04-11T18:21:17Z |
| format | Article |
| id | doaj.art-be5ed610d3934128969162cc666ad04d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:21:17Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-be5ed610d3934128969162cc666ad04d2022-12-22T04:09:46ZengMDPI AGEnergies1996-10732019-02-0112580510.3390/en12050805en12050805A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter ErrorsXiangyu Kong0Yuying Ma1Xin Zhao2Ye Li3Yongxing Teng4Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaTianjin Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, ChinaTianjin Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, ChinaIn view of the existing verification methods of electric meters, there are problems such as high maintenance cost, poor accuracy, and difficulty in full coverage, etc. Starting from the perspective of analyzing the large-scale measured data collected by user-side electric meters, an online estimation method for the operating error of electric meters was proposed, which uses the recursive least squares (RLS) and introduces a double-parameter method with dynamic forgetting factors <i>λ<sub>a</sub></i> and <i>λ<sub>b</sub></i> to track the meter parameters changes in real time. Firstly, the obtained measured data are preprocessed, and the abnormal data such as null data and light load data are eliminated by an appropriate clustering method, so as to screen out the measured data of the similar operational states of each user. Then equations relating the head electric meter in the substation and each users’ electric meter and line loss based on the law of conservation of electric energy are established. Afterwards, the recursive least squares algorithm with double-parameter is used to estimate the parameters of line loss and the electric meter error. Finally, the effects of double dynamic forgetting factors, double constant forgetting factors and single forgetting factor on the accuracy of estimated error of electric meter are discussed. Through the program-controlled load simulation system, the proposed method is verified with higher accuracy and practicality.https://www.mdpi.com/1996-1073/12/5/805electric metererror estimationline lossRLSdouble forgetting factors |
| spellingShingle | Xiangyu Kong Yuying Ma Xin Zhao Ye Li Yongxing Teng A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors Energies electric meter error estimation line loss RLS double forgetting factors |
| title | A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors |
| title_full | A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors |
| title_fullStr | A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors |
| title_full_unstemmed | A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors |
| title_short | A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors |
| title_sort | recursive least squares method with double parameter for online estimation of electric meter errors |
| topic | electric meter error estimation line loss RLS double forgetting factors |
| url | https://www.mdpi.com/1996-1073/12/5/805 |
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