On-Line Dynamic Security Assessment of Isolated Networks Integrating Large Wind Power Production

The paper describes the on-line dynamic security assessment functions developed within the European Union, DGXII programme, CARE. These functions are based exclusively on the application of machine learning techniques. A description of the problem and the data set generation procedure for the Crete...

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Bibliographic Details
Published in:Wind engineering 1999-01, Vol.23 (2), p.107-117
Main Authors: Lopes, J. A. Peças, Hatziargyriou, N., Vasconcelos, M., Karapidakis, E., Fidalgo, J.
Format: Article
Language:English
Subjects:
Artificial neural networks
Datasets
Decision theory
Decision trees
Electric power generation
Electric power system protection
Error rates
Kernel functions
Learning systems
Machine learning
Network security
Neural networks
Regression analysis
Security systems
Trees (mathematics)
Wind power
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Summary:The paper describes the on-line dynamic security assessment functions developed within the European Union, DGXII programme, CARE. These functions are based exclusively on the application of machine learning techniques. A description of the problem and the data set generation procedure for the Crete island power system are included. Comparative results regarding performances of Decision Trees, Kernel Regression Trees and Neural Networks are presented and discussed.
ISSN:0309-524X
2048-402X