Open AccessEquipment Operation Analysis and Application Research Based on Big Data Electric Power Distribution Network
Author(s) -
Lei Shi,
Xin Ji,
Xiaolong Zhao,
Qian Wang,
Zhongyi Shang
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 - 10.1088/1742-6596/1631/1/012133
Subject(s) - computer science , process (computing) , big data , network information system , power (physics) , reliability engineering , electric power , data mining , industrial engineering , engineering , network architecture , computer network , network management station , physics , quantum mechanics , operating system
With the rapid development of the current power supply enterprise, it is necessary to process the distribution network business according to the actual business requirements, and easily collect and transfer the archiving and operation data in four distribution network equipment types from the source business system to explore the potential correlation of power big data indicators. This paper proposes one method of constructing the distribution network operation monitoring index system based on two aspects of operation efficiency and power supply capacity, and proposes a corresponding data analysis model for detailed analysis, and finally carries out the model verification. The experimental tests of four types of equipment operation analysis in the internal big data distribution network show that, the proposed methods could locate the distribution network operation quickly and accurately.