Abstract
Electric metering devices face problems of decreased accuracy of metering data due to their aging and malfunction. More importantly, it is difficult to measure the error of electric metering devices. To alleviate these problems, it is crucial to estimate errors of electricity metering devices (EMD) as precisely as possible. To this end, the meter error is modeled and represented by the relationship between the EMD reading and its correction coefficient along with line loss. Based on this model, this paper presents a simple and effective method based on the least square (LS) method. To evaluate the effectiveness of the method, experiments are conducted on a testing case, and the results show that our model is excellent in terms of accuracy for EMD error estimation.
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Liu, C., Lei, M., Ming, D., Ding, L., **a, T. (2023). Error Estimation of Distributed Electric Metering Devices Based on the Least-Squared Error Fitting. In: **e, K., Hu, J., Yang, Q., Li, J. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-99-0408-2_92
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DOI: https://doi.org/10.1007/978-981-99-0408-2_92
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