Research on Real-Time Processing and Efficient Sharing Program of Power Measurement Data

In modern power systems, power measurement data is a key basis for monitoring, analyzing, and making decisions regarding operational status. This paper proposes a solution to improve the performance of power measurement data processing and sharing in response to the high requirements of the power system. By integrating a real-time database, the real-time data processing module preprocesses the measurement data based on key information. Parallel computing architecture and ADMM algorithm are used to realize information sharing and collaboration between data streams. The accuracy of state variable estimation is improved by introducing a weighted M-P generalized inverse matrix using iterative methods and linearization. In terms of data processing speed, the model in this paper, in terms of data sharing efficiency, the average response time of the optimized sharing scheme is shortened to 0.5 seconds, and the data transfer rate is increased to 1000 Mbps. the average response time of the optimized sharing scheme is shortened from 5 seconds to 0.5 seconds, and the data transfer rate is increased from 100 Mbps to 1000 Mbps. in terms of user experience, the optimized power measurement In terms of user experience, the optimized Power Measurement solution has an average satisfaction score of more than 90, and the user operation steps have been simplified to three. It not only improves the data processing capability of the power measurement system, but also enhances the system sharing level.