Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/4420
Title: Robust feeder reconfiguration in radial distribution networks.
Authors: Barbosa, Carlos Henrique Nogueira de Resende
Mendes, Marcus Henrique Soares
Vasconcelos, João Antônio de
Keywords: Interval analysis
Feeder reconfiguration
Multi objective optimization
Radial distribution networks
Issue Date: 2014
Citation: BARBOSA, C. H. N. de R.; MENDES, M. H. S.; VASCONCELOS, J. A. de. Robust feeder reconfiguration in radial distribution networks. International Journal of Electrical Power & Energy Systems, v. 54, p. 619-630, 2014. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0142061513003566#>. Acesso em: 09 jan. 2015.
Abstract: Distribution feeder reconfiguration has been an active field of research for many years. Some recent theoretical studies have highlighted the importance of smart reconfiguration for the operating conditions of such radial networks. In general, this problem has been tackled using a multi-objective formulation with simplified assumptions, in which the uncertainties related to network components have been neglected by both mathematical models and solution techniques. These simplifications guide searches to apparent optima that may not perform optimally under realistic conditions. To circumvent this problem, we propose a method capable of performing interval computations and consider seasonal variability in load demands to identify robust configurations, which are those that have the best performance in the worst case scenario. Our proposal, named the Interval Multi-objective Evolutionary Algorithm for Distribution Feeder Reconfiguration (IMOEA-DFR), uses interval analysis to perform configuration assessment by considering the uncertainties in the power demanded by customers. Simulations performed in three cases on a 70-busbar system demonstrated the effectiveness of the IMOEA-DFR, which obtained robust configurations that are capable to keep such system working under significant load variations. Moreover, our approach achieved stable configurations that remained feasible over long periods of time not requiring additional reconfigurations. Our results reinforce the need to include load uncertainties when analyzing DFR under realistic conditions.
URI: http://www.repositorio.ufop.br/handle/123456789/4420
metadata.dc.identifier.doi: https://doi.org/10.1016/j.ijepes.2013.08.015
ISSN: 0142-0615
metadata.dc.rights.license: O periódico International Journal of Electrical Power & Energy Systems concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3544811223217.
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