A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors

Xiangyu Kong, Yuying Ma, Xin Zhao, Ye Li and Yongxing Teng
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Xiangyu Kong: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Yuying Ma: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Xin Zhao: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Ye Li: Tianjin Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, China
Yongxing Teng: Tianjin Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, China

Energies, 2019, vol. 12, issue 5, 1-16

Abstract: 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 λ a and λ b 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.

Keywords: electric meter; error estimation; line loss; RLS; double forgetting factors (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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