Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/19468
Author(s): | Maria Helena Osório Pestana de Vasconcelos João Abel Peças Lopes |
Title: | ANN design for fast security evaluation of interconnected systems with large wind power production |
Issue Date: | 2006 |
Abstract: | 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. |
Subject: | Engenharia electrotécnica, Energias renováveis, Engenharia electrotécnica, electrónica e informática Electrical engineering, Renewable energies, Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
URI: | https://hdl.handle.net/10216/19468 |
Source: | Proceedings of the 9th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
This item is licensed under a Creative Commons License