Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1341
Título: Increase of the delivered energy probability in DES using a fuzzy probabilistic modeling
Autor: Canizes, Bruno
Soares, João
Vale, Zita
Teixeira, Joaquim
Palavras-chave: Distribution energy systems
Fuzzy model
Optimization
Reliability
Data: 2012
Editora: IEEE
Resumo: The paper proposes a methodology to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The proposed methodology is based on statistical failure and repair data of distribution components and it uses a fuzzy-probabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A mixed integer nonlinear programming optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.
URI: http://hdl.handle.net/10400.22/1341
ISBN: 978-1-4673-2596-7
978-1-4673-2595-0
ISSN: 2165-4816
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6465761
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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