Research and Application of Multi-Source Data Collection Method of Power System Based on Microservice Idea*

Zhu Wang, Zhengjun Jing, Shaoquan Li, Gang Qi, Zhaoyang Wang · 2023

With the deepening of the digitalization of power system, the increasing development of power big data puts forward higher requirements for the collection of power system data. Aiming at the requirements of safe and reliable data collection, flexible visualization of acquisition procedures, and adaptation to multi-source heterogeneous data collection, this paper proposes a multi-source data acquisition method for power system based on microservice thinking. Analyze the data collection scenario and split the acquisition program as a service, so that the collection service has the characteristics of independent deployment and dynamic expansion. Research enterprise business scenarios and according to the characteristics of electric power services, we implement a low-code collection platform that meet the requirements of electric power services. Through the application of stress test data, it can be seen that the performance and reliable security of the acquisition program are greatly improved, and the research and development cost can be reduced by about 30%.

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