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

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

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

Conference proceedings International

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

Pages: 92-97

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

Estocolmo, 18 a 22 de Junho 2006

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus - 5 Citations

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering ; Technological sciences > Technology > Energy technology > Renewable energies

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6