Research and Application of Cloud Master Station Architecture for The Acquisition of Electric Energy Data Based on Big Data

Research and Application of Cloud Master Station Architecture for The Acquisition of Electric Energy Data Based on Big Data

연구 분야: Infrastructure

학회: ICBDT '23: Proceedings of the 2023 6th International Conference on Big Data Technologies

With the continuous deepening of the construction of new power systems and the deepening application of user side data collection, the main station of the electric energy data collection system has encountered bottlenecks in data collection, calculation, storage, etc. which cannot meet the needs of rapid business development. This paper proposes a master station system technical scheme with high-frequency real-time acquisition characteristics, which comprehensively resolves the efficiency issues of high-frequency concurrent interaction, Real-time computing, and massive data storage. It is based on Microservices architecture, distributed storage, real-time stream computing, memory batch computing, and other technologies. It has been established through experimental environment verification and on-site application in a particular Chinese province that the suggested scheme can significantly increase the collection capacity of the power consumption information collection master station and enhance the functionality of the conventional centralized collection master station.