Automatic extraction method and device for stable characteristics of power system

Abstract

The invention provides an automatic extraction method and device for stable characteristics of a power system. The method includes: determining sample input quantity and classification number of a logistic regression training model and defining a superparameter set; defining cost function containing LASSO penalty terms and updating a logistic regression parameter matrix theta in the cost function with the LASSO penalty terms by the aid of an iteration method; selecting the logistic regression training model generated by the maximum superparameter with the error rate smaller than a threshold in the superparameter set as the optimum model; taking the maximum value of sum of the row vector absolute value of the logistic regression parameter matrix theta as the stable characteristics of a power grid. The critical clearing time (CCT) of the stabilization rate of the logistic regression parameter model on expected failure of the power grid is matched, the penalty items of 1 norm of the parameter matrix theta are added in the cost function, and the main characteristics are highlighted; the stable characteristics are automatically extracted.

Description

technical field [0001] The invention belongs to the field of large power grid stability and control, and in particular relates to a method and device for automatically extracting stability features of a power system. Background technique [0002] With the rapid improvement of the economic level, the demand for electricity in Chinese society is also becoming stronger. In order to ensure the safe and reliable transmission of electric energy, major projects such as west-to-east power transmission, national networking, and UHV power transmission have been carried out in China's power grid. With the expansion of the grid scale, the security and stability of the grid is becoming more and more difficult to control. Many power grid failures that have occurred in the world show that the increase of transmission voltage level, the expansion of network scale and the increase of transmission capacity will increase the harm caused by grid failure, and the cause and process of failure wi...

AI Technical Summary

Problems solved by technology

There has been some research on stable feature identification methods. Existing methods often rely too much on manual experience, and the selected features are relatively limited and cannot be widely selected, resulting in the possibility of missing selection.

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