Integration and exchange method of multi-source heterogeneous big data for intelligent power distribution and utilization

Abstract

With the development of smart grid and big data technologies, the stability and economy of distribution network operation are enhanced effectively. Intelligent power distribution and utilization (IPDU) big data platform, which exchanges operation data with other related distribution network management systems, makes decisions for demand side management, power system and distributed energy operation strategies by analyzing the big data. In order to solve the data fusion and exchange problems among all information systems, we proposed a kind of general information model for multi-source heterogeneous big data. In addition, a data fusion and exchange mechanism is established based on circle buffer to ensure the data quality. Finally, this paper demonstrates the effective of the method of IPDU big data fusion method by the example of distribution network reconfiguration. The method proposed in this paper can satisfy the data exchanging demands of future smart grid and demand side management, and it also has good confluent and extensible feature.