Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1525
Título: Logic programming and fuzzy Monte Carlo for distribution network reconfiguration
Autor: Vale, Zita
Canizes, Bruno
Soares, João
Oliveira, Pedro
Sousa, Tiago
Pinto, Tiago
Palavras-chave: Distribution power systems
Fuzzy model
Load curtailment
Logic programming
Monte Carlo simulation
Reliability
Data: 2011
Editora: IEEE
Resumo: This paper present a methodology to choose the distribution networks reconfiguration that presents the lower power losses. The proposed methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modeling for system component outage parameters. The proposed hybrid method using fuzzy sets and Monte Carlo simulation based on the fuzzyprobabilistic models allows catching both randomness and fuzziness of component outage parameters. A logic programming algorithm is applied, once obtained the system states by Monte Carlo Simulation, to get all possible reconfigurations for each system state. To evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation an AC load flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 115 buses distribution network.
URI: http://hdl.handle.net/10400.22/1525
ISBN: 978-1-4577-0809-1
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6082241
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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