Support vector machine based transient power angle stability fault screening system and method

Abstract

The invention discloses a support vector machine based transient power angle stability fault screening system and method. Characteristic quantity can be selected based on transient power angle stability quantitative evaluation results of samples in a historical sample set, so that the problems of the complex calculating of a feature selection algorithm and characteristic quantity mis-selection andomission; a support vector machine can be adopted to perform supervised learning and training on different stable modes after the stable modes are classified, so that the accuracy of a prediction model can be enhanced; a regression prediction model which takes a transient power angle stability margin as a variable can be adopted to sample sets that only having stable samples; the applicability ofa transient power angle stability prediction model can be judged based on the characteristic quantity of a current operation mode, so that the mis-judgement problem of a machine learning algorithm can be avoided; and whether anticipated faults and corresponding power flow modes are brought into the sample sets based on the detailed transient power angle stability quantitative evaluation results and predicted value difference, and the number of instability samples in the sample sets can be properly increased, so that the rationality of the samples in the sample sets can be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of power system automation, and in particular relates to a transient power angle stability fault screening system and method based on a support vector machine. Background technique [0002] On-line transient safety and stability assessment has become an urgent need for dispatching and operation of large power grids, and its calculation period is generally required to be within 5 minutes. As the scale of the power system increases, the number of expected faults that need to be evaluated online for transient safety and stability will be large, and the evaluation time for a single fault will also become longer. For a large power grid with thousands of generators and tens of thousands of computing nodes, if the expected faults are not screened and the transient safety and stability assessment of tens of thousands of expected faults is completed within 5 minutes, a large number of computing resources need to be c...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the deficiencies in the prior art, the present invention provides a support vector machine-based online transient power angle stability predictive fault screening method for power systems, which solves the incompatibility between the correctness and screening efficiency of fault screening in the existing Safety and stability analysis of technical problems with low calculation speed and accuracy

Images