Real-time Data Processing and Analysis in Power Systems

In the context of the continuous transformation of the global energy structure and the development of smart grid technology, the stability and efficiency of power system operation become very important. The research objective of this thesis is to discuss the role of real-time data processing and analysis in enhancing the performance of power systems. This paper elaborates on the basic theory and key technologies of real-time data processing, which mainly involves data acquisition, transmission and communication technologies, and takes a large-scale power transmission and distribution enterprise as an example to analyze the specific application of real-time data processing technologies for monitoring, fault detection, load forecasting, and optimal scheduling. The study shows that the realization of these technologies significantly improves the data processing speed, shortens the fault response time, and improves the overall reliability and economic efficiency of the system.