Security evaluation of interconnected systems with large wind power production ...

• Author(s): João Abel Peças Lopes ; Maria Helena Osório Pestana de Vasconcelos
• Date: 2006
• Persistent ID: http://hdl.handle.net/10216/19476
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências Físicas; Ciência de computadores; Cibernética; Inteligência artificial, Ciências tecnológicas; Tecnologia; Tecnologia energética; Energia renováveis
• Document Type: Conference Object
• Language: English

Description

This paper presents a new methodology to evaluate, within the framework of on-line security assessment, the dynamic behavior of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Regression Tree (RT) automatic learning method to perform Feature Subset Selection (FSS) and Artificial Neural Networks (ANN) to provide a way for fast evaluation of the security degree.