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

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 (...

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Bibliographic Details
Main Author: João Abel Peças Lopes (author)
Other Authors: Maria Helena Osório Pestana de Vasconcelos (author)
Format: book
Language:eng
Published: 2006
Subjects:
Energias renováveis, Inteligência artificial, Engenharia electrotécnica, electrónica e informática
Renewable energies, Artificial intelligence, Electrical engineering, Electronic engineering, Information engineering
Online Access:https://repositorio-aberto.up.pt/handle/10216/19476
Country:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/19476
Description
Summary: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.

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