A New Method for Power System Transient Stability Assessment: Application of Adaptive Combined Classifiers

Su Wei; Bo Wang; Di Chen Liu; Jin Hao Luo

doi:10.4028/www.scientific.net/AMM.644-650.3542

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650A New Method for Power System Transient Stability...

A New Method for Power System Transient Stability Assessment: Application of Adaptive Combined Classifiers

Abstract:

The problem of transient stability of power system is one of the most actively studied nowadays. Classifiers have been applied to the transient stability assessment (TSA) and shown great potential. This paper proposed an adaptive combined classifier based on back-propagation neural network (BPNN) and support vector machine (SVM). In this method, gray area with low accuracy was found by output of BPNN, but it can be improved in SVM. Experiment results on New England system demonstrate the accuracy and speed of proposed classifier.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

3542-3547

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.3542

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Online since:

September 2014

Authors:

Su Wei*, Bo Wang, Di Chen Liu, Jin Hao Luo

Keywords:

BPNN, Combined Classifier, Power System, SVM, Transient Stability Assessment

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* - Corresponding Author

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