Power system stability assessment method based on big data analysis

Abstract

The invention discloses an electric power system stability evaluation method based on big data analysis, and the method comprises the steps: enabling flat load power supply data, peak load power supply data and valley load power supply data to be displayed in a simulation calculation system through three response curves through the simulation calculation system; corresponding response curves are classified according to different stability requirements of the power system, and response curve simulation variable data are obtained; and performing an electric power system operation state network model on the response curve simulation variable data by adopting the electric power system state data matrix. The method is reasonable in design, data model analysis and calculation are carried out by using big data, the accuracy of stability evaluation of the power system is improved, and the problems of huge power grid scale, high data dimension and poor stability in China in the prior art are solved. The technical problem of how to quickly extract reasonable and effective power grid fault sample data from mass data and perform classification processing for different stability problems is solved.

Description

technical field [0001] This application relates to the field of power grid applications, specifically a power system stability assessment method based on big data analysis. Background technique [0002] Power system fault diagnosis and stability assessment are important guarantees for power grid security risk situation awareness and safe operation. However, because the power system is often disturbed or even fails, traditional power grid protection methods may cause protection malfunction or rejection due to insufficient accuracy and accuracy. At the same time, the current security and stability analysis methods cannot meet the online rapid assessment of system stability. [0003] With the advent of the big data era, how to achieve a more rapid and accurate power system stability assessment based on big data analysis has become a problem that needs to be solved. Therefore, in view of the above problems, a power system stability assessment method based on big data analysis i...

AI Technical Summary

Problems solved by technology

[0002] Power system fault diagnosis and stability assessment are important guarantees for power grid security risk situation awareness and safe operation. However, because the power system is often disturbed or even fails, traditional power grid protection methods may cause protection malfunction or rejection due to insufficient accuracy and accuracy. At the same time, the current security and stability analysis methods cannot meet the online rapid assessment of system stability.