Security evaluation of interconnected systems with large wind power production using artificial intelligence systems

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

Authors

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

Conference proceedings International

Title: First International ICSC Symposium on ARTIFICIAL INTELLIGENCE IN ENERGY SYSTEMS AND POWER, AIESP

Madeira, Portugal, 7 a 10 de Fevereiro de 2006

Scientific classification

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

CORDIS: Technological sciences > Technology > Energy technology > Renewable energies ; Physical sciences > Computer science > Cybernetics > Artificial intelligence

Other information

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7