Open AccessStudy on Data Management of Electric Power Distribution Dispatch and Cutting-through Based on Big Data
Author(s) -
Yingfeng Cai,
Shilong Cao,
Jie Xu,
Rong Mu
Publication year - 2021
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 - 10.1088/1742-6596/1748/3/032026
Subject(s) - big data , cloud computing , distribution management system , data management , data virtualization , electric power , computer science , power (physics) , data collection , the internet , data science , data mining , engineering , electrical engineering , world wide web , operating system , statistics , physics , mathematics , quantum mechanics , virtualization
With the development of technologies such as big data, Internet of Things, and cloud computing, power companies’ information management systems for dispatch, finance, projects, marketing, equipment, and materials have also made great progress. The construction of the data platform of the electric power company has realized the unified collection of data resources for the entire business of the power grid, which provides strong support for cross-professional, cross-departmental, internal and external data association analysis and in-depth data value mining. Based on the data management and management of power distribution dispatching, big data technology is adopted to optimize the coding and structure of power system distribution data to realize data cutting-through. Through experimental testing and analysis, it is proved that the research content of the paper can meet the current power operation needs. Compared with other data management methods, it can achieve higher management accuracy and coverage, and play a data guarantee effect for power distribution work.