Design and Implementation of Power Grid Graph Data Management Platform Based on Distributed Storage

6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence

Qiu, Hongbin^1^2 ; Zhou, Aihua^1^2 ; Hu, Bin^1^2 ; Chai, Bo^1^2 ; Song, Yan^3 ; Chen, Rui^3

Global Energy Interconnection Research Institute Co. Ltd, Beijing

102209, China^1

Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI), China^2

Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai, China^3

关键词: Design and implementations;    Distributed database;    Distributed storage;    Informationization;    Management platforms;    Massive data;    Power devices;    Power grids;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/234/1/012026/pdf
DOI  :  10.1088/1755-1315/234/1/012026

来源: IOP

【 摘 要 】

With the construction of smart grids, the number of power device has increased rapidly, and various types of services in power grid management have been interconnected and refined. This has made how to store and effectively manage the massive data generated in power grid information management has become a bottleneck. This paper designs and implements a power grid graph data management platform based on distributed database HBase. Experiments on power grid topology data show that the graph data management platform proposed in this paper only takes nearly 80% of the time based on the graph database Neo4j when the scale is large enough, which can realize the storage and analysis of large-scale power grid topology data, and meet the needs of power grid informationization.