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dc.contributor.authorMendia, Izaskun
dc.contributor.authorGil-López, Sergio
dc.contributor.authorDel Ser, Javier
dc.contributor.authorBordagaray, Ana González
dc.contributor.authorPrado, Jesús García
dc.contributor.authorVélez, Manuel
dc.date.accessioned2019-07-12T09:36:32Z
dc.date.available2019-07-12T09:36:32Z
dc.date.issued2017
dc.identifier.citationMendia I., Gil-López S., Del Ser J., Bordagaray A.G., Prado J.G., Vélez M. (2017) Optimal Phase Swapping in Low Voltage Distribution Networks Based on Smart Meter Data and Optimization Heuristics. In: Del Ser J. (eds) Harmony Search Algorithm. ICHSA 2017. Advances in Intelligent Systems and Computing, vol 514. Springer, Singaporeen
dc.identifier.isbn978-981-10-3727-6en
dc.identifier.issn2194-5357en
dc.identifier.urihttp://hdl.handle.net/11556/734
dc.description.abstractIn this paper a modified version of the Harmony Search algorithm is proposed as a novel tool for phase swapping in Low Voltage Distribution Networks where the objective is to determine to which phase each load should be connected in order to reduce the unbalance when all phases are added into the neutral conductor. Unbalanced loads deteriorate power quality and increase costs of investment and operation. A correct assignment is a direct, effective alternative to prevent voltage peaks and network outages. The main contribution of this paper is the proposal of an optimization model for allocating phases consumers according to their individual consumption in the network of low-voltage distribution considering mono and bi-phase connections using real hourly load patterns, which implies that the computational complexity of the defined combinatorial optimization problem is heavily increased. For this purpose a novel metric function is defined in the proposed scheme. The performance of the HS algorithm has been compared with classical Genetic Algorithm. Presented results show that HS outperforms GA not only on terms of quality but on the convergence rate, reducing the computational complexity of the proposed scheme while provide mono and bi phase connections.en
dc.description.sponsorshipThis paper includes partial results of the UPGRID project. This project has re- ceived funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 646.531), for further information check the website: http://upgrid.eu. As well as by the Basque Government through the ELKARTEK programme (BID3A and BID3ABI projects).en
dc.language.isoengen
dc.publisherSpringer Verlagen
dc.titleOptimal Phase Swapping in Low Voltage Distribution Networks Based on Smart Meter Data and Optimization Heuristicsen
dc.typeconferenceObjecten
dc.identifier.doi10.1007/978-981-10-3728-3_28en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/646531/EU/Real proven solutions to enable active demand and distributed generation flexible integration, through a fully controllable LOW Voltage and medium voltage distribution grid/UPGRIDen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsSmart meteren
dc.subject.keywordsLoad curveen
dc.subject.keywordsHarmony searchen
dc.journal.titleAdvances in Intelligent Systems and Computing : Harmony Search Algorithmen
dc.page.final293en
dc.page.initial283en
dc.volume.number514en
dc.identifier.esbn978-981-10-3728-3en
dc.conference.title3rd International Conference on Harmony Search Algorithm, ICHSA 2017; Bilbao; Spain; 22 February 2017 through 24 February 2017en


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