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ANN Design for Fast Security Evaluation of Interconnected Systems with Large Wind Power Production

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2 Author(s)
Helena Vasconcelos ; INESC Porto (Instituto de Engenharia de Sistemas e Computadores do Porto) and FEUP (Faculty of Engineering of the University of Porto), Porto, Portugal. e-mail: ; J. A. Pecas Lopes

This paper presents the performed steps to design an artificial neural network (ANN) tool, able to evaluate, within the framework of on-line security assessment, the dynamic security of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the linear regression (LR) variable selection stepwise method to perform automatic feature subset selection (FSS) and ANN to provide a way for fast evaluation of the system security degree. In order to choose the best input/output set of variables for the ANN tool, a comparative analysis is performed, regarding the obtained predicting error, by performing a statistical hypothesis test. The reduced error results confirm the feasibility and quality of the derived security structures

Published in:

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Date of Conference:

11-15 June 2006