ANN design for fast security evaluation of interconnected systems with large wi...

• Author(s): Maria Helena Osório Pestana de Vasconcelos ; João Abel Peças Lopes
• Date: 2006
• Persistent ID: http://hdl.handle.net/10216/19468
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências tecnológicas; Engenharia; Engenharia electrotécnica, Ciências tecnológicas; Tecnologia; Tecnologia energética; Energia renováveis
• Document Type: Conference Object
• Language: English

Description

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.