Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/19468
Author(s): Maria Helena Osório Pestana de Vasconcelos
João Abel Peças Lopes
Title: ANN design for fast security evaluation of interconnected systems with large wind power production
Issue Date: 2006
Abstract: 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.
Subject: Engenharia electrotécnica, Energias renováveis, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Renewable energies, Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
URI: https://repositorio-aberto.up.pt/handle/10216/19468
Source: Proceedings of the 9th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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