Rapid evaluation method for transient angle stability based on comprehensive causal analysis and machine learning

Abstract

The invention discloses a rapid evaluation method for transient angle stability based on a comprehensive causal analysis and machine learning, which comprises dividing a historical operation mode sample into several operation mode clusters based on historical data stored by a transient stability evaluation function of online security analysis applications, describing the transient angle stabilitymargin by linearization formula according to the difference between the modes, and extracting a key feature quantity of a power grid; constructing a deep learning model and using a historical data sample to train by taking the key feature quantity as an input quantity and taking a historical operation mode cluster classification as an output quantity, establishing a relationship between a currentreal-time operation mode and the historical operation mode, and estimating the transient angle stability of the current real-time operation mode. According to the rapid evaluation method for transientangle stability based on the comprehensive causal analysis and machine learning, the calculation time consumption can be effectively reduced, and the quantitative analysis results of the power grid transient angle stability can be quickly obtained while ensuring the accuracy of the transient angle stability analysis. This helps to detect the transient operation risks existing in the power grid and improve the safe operation level of the power grid.

Description

technical field [0001] The invention relates to the technical field of power system security and stability analysis, in particular to a method for rapidly evaluating transient power angle stability through comprehensive causal analysis and machine learning. Background technique [0002] In order to ensure the safe and stable operation of the power grid, especially the UHV AC-DC hybrid power grid, dispatching agencies at all levels need to be able to quickly grasp the safe and stable operation of the power grid, and quickly locate the risk points and risk levels of the power grid operation, so as to provide risk prevention and control for the power grid. Provide a basis for control decisions. At present, most of the power grid dispatching control institutions at the provincial level and above in China have established the online security analysis application function of the power grid. Comprehensively evaluate the safety and stability of the power grid from multiple aspects ...

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Problems solved by technology

The above method has achieved certain results, but the application of historical analysis results is not sufficient. There is a certain degree of blindness in the use of pure machine learning methods. At the same time, the method of manually screening state quantities relies heavily on personnel experience

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