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Pareto optimal reconfiguration of power distribution systems using a genetic algorithm based on NSGA-II
dc.contributor.author | Tomoiaga, Bogdan |
dc.contributor.author | Chindris, Mircea |
dc.contributor.author | Sumper, Andreas |
dc.contributor.author | Sudrià Andreu, Antoni |
dc.contributor.author | Villafafila Robles, Roberto |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica |
dc.date.accessioned | 2013-03-13T12:54:14Z |
dc.date.available | 2013-03-13T12:54:14Z |
dc.date.created | 2013-03-06 |
dc.date.issued | 2013-03-06 |
dc.identifier.citation | Tomoiaga, B. [et al.]. Pareto optimal reconfiguration of power distribution systems using a genetic algorithm based on NSGA-II. "Energies", 06 Març 2013, vol. 6, núm. 3, p. 1439-1455. |
dc.identifier.issn | 1996-1073 |
dc.identifier.uri | http://hdl.handle.net/2117/18257 |
dc.description.abstract | Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. The authors propose an original method, aiming at achieving such optimization through the reconfiguration of distribution systems taking into account various criteria in a flexible and robust approach. The novelty of the method consists in: the criteria for optimization are evaluated on active power distribution systems (containing distributed generators connected directly to the main distribution system and microgrids operated in grid-connected mode); the original formulation (Pareto optimality) of the optimization problem and an original genetic algorithm (based on NSGA-II) to solve the problem in a non-prohibitive execution time. The comparative tests performed on test systems have demonstrated the accuracy and promptness of the proposed algorithm. |
dc.format.extent | 17 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.title | Pareto optimal reconfiguration of power distribution systems using a genetic algorithm based on NSGA-II |
dc.type | Article |
dc.subject.lemac | Algorismes genètics |
dc.subject.lemac | Sistemes de distribució d'energia elèctrica |
dc.contributor.group | Universitat Politècnica de Catalunya. CITCEA - Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments |
dc.identifier.doi | 10.3390/en6031439 |
dc.relation.publisherversion | http://www.mdpi.com/1996-1073/6/3/1439 |
dc.rights.access | Open Access |
local.identifier.drac | 11640141 |
dc.description.version | Postprint (published version) |
local.citation.author | Tomoiaga, B.; Chindris, M.; Sumper, A.; Sudria, A.; R. Villafafila-Robles |
local.citation.publicationName | Energies |
local.citation.volume | 6 |
local.citation.number | 3 |
local.citation.startingPage | 1439 |
local.citation.endingPage | 1455 |
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