This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.

Paper The following article is Open access

Research on the Causes of the Accurately Locating Line Loss Exceptions by Querying the Power Consumption Information Acquisition System Based on the Big Data Platform

and

Published under licence by IOP Publishing Ltd
, , Citation Xiaoying Zhu and Xinsheng Jin 2020 J. Phys.: Conf. Ser. 1650 032186 DOI 10.1088/1742-6596/1650/3/032186

1742-6596/1650/3/032186

Abstract

The combination of a power user information collection system with a two-way interactive platform for power business has constructed intelligent power consumption big data for the energy flow, information flow, and business flow of the power grid and customers. Aiming at the problem that the current distribution network transmission line loss anomalies cannot be traced and difficult to locate, based on the data collected by the measurement automation system, through the management of station, line, transformer, and household data, the use of data mining and analysis technology will The factors of line loss are analyzed. Through the intelligent diagnosis model of line loss abnormality, it analyses the abnormal causes that affect line loss in real time, promotes the transformation of low-voltage line loss management from result management to process management, improves the power supply operation efficiency and management level, reduces the operating costs of enterprises, and improves the economic benefits of enterprises.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1742-6596/1650/3/032186