Open AccessResearch on the Causes of the Accurately Locating Line Loss Exceptions by Querying the Power Consumption Information Acquisition System Based on the Big Data Platform
Author(s) -
Xiaoying Zhu,
Xinsheng Jin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032186
Subject(s) - computer science , real time computing , big data , transformer , electric power system , reliability engineering , power (physics) , data mining , voltage , engineering , electrical engineering , physics , quantum mechanics
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.