Research on Line Loss of Low-Voltage Substation Based on Smart Electric Meter Clustering Algorithm

DOI

10.2991/pntim-19.2019.63How to use a DOI?

Keywords

Component; Line Loss Rate; Loss Abnormal; Low-Voltage Distribution Network; Clustering Algorithm

Abstract

At present, electric power company judgment on abnormal line loss is that the line loss is abnormal when the line loss rate exceeds a certain threshold. Yet the judgement is one-sidedness and limited．Aiming at the large proportion of low-voltage distribution network loss in the total loss of power grid, this paper introduces the line loss analysis process, constructs the line loss analysis model based on smart electric meter the four dimensional eigenvalues of daily average line loss rate, line loss rate variation coefficient, three-phase imbalance, power factor abnormality, and puts forward a method of identifying line loss abnormality in low-voltage distribution network based on clustering algorithm. The experimental results show that the method has certain practical application effects, which can accurately analyze the line loss rate and improve the accuracy of line loss anomaly judgment.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yang Fuli
AU  - Hou Xingzhe
PY  - 2019/11
DA  - 2019/11
TI  - Research on Line Loss of Low-Voltage Substation Based on Smart Electric Meter Clustering Algorithm
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 307
EP  - 311
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.63
DO  - 10.2991/pntim-19.2019.63
ID  - Fuli2019/11
ER  -