ANN design for fast security evaluation of interconnected systems with large wind power production

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2006

Autores

Maria Helena Osório Pestana de Vasconcelos (Autor) FEUP; João Abel Peças Lopes (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the 9th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Páginas: 92-97

9th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Estocolmo, 18 a 22 de Junho 2006

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 5 Citações

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica ; Ciências Tecnológicas > Tecnologia > Tecnologia energética > Energias renováveis

Outras Informações

ID Authenticus: P-004-R64

DOI: 10.1109/PMAPS.2006.360206

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6