Technical Research on the Electric Power Big Data Platform of Smart Grid

• Main Authors: Ruiguang MA, Haiyan Wang, Quanming Zhang, Yuan Liang
• Format: Article
• Language: English
• Published: EDP Sciences 2017-01-01
• Series: MATEC Web of Conferences
• Online Access: https://doi.org/10.1051/matecconf/201713900217

Through elaborating on the associated relationship among electric power big data, cloud computing and smart grid, this paper put forward general framework of electric power big data platform based on the smart grid. The general framework of the platform is divided into five layers, namely data source layer, data integration and storage layer, data processing and scheduling layer, data analysis layer and application layer. This paper makes in-depth exploration and studies the integrated management technology based on big data, the index technology based on electric power big data, the analysis technology based on electric power big data and the excavation technology based on electric power big data, to achieve the breakthrough of key technologies of electric power big data. Finally, the typical case of big data applications shows that the key technology application of electric power big data platform will bring changes for the power enterprises, which has demonstration meaning and important reference meaning.