Mendia, IzaskunGil-López, SergioDel Ser, JavierBordagaray, Ana GonzálezPrado, Jesús GarcíaVélez, ManuelDel Ser, Javier2017Mendia , 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 J Del Ser (ed.) , unknown . vol. 514 , 2194-5357 , Springer Verlag , pp. 283-293 , Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 , Bilbao , Spain , 22/02/17 . https://doi.org/10.1007/978-981-10-3728-3_28conference978-981-10-3727-69789811037276978-9-8110-3728-3researchoutputwizard: 11556/734Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.In 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.11478832enginfo:eu-repo/semantics/openAccessconference output10.1007/978-981-10-3728-3_28Smart meterLoad curveHarmony searchSmart meterLoad curveHarmony searchControl and Systems EngineeringGeneral Computer ScienceProject IDinfo: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/UPGRIDinfo: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/UPGRIDFunding InfoThis paper includes partial results of the UPGRID project. This project has re-_x000D_ ceived funding from the European Unions Horizon 2020 research and innovation_x000D_ programme under grant agreement No 646.531), for further information check_x000D_ the website: http://upgrid.eu. As well as by the Basque Government through_x000D_ the ELKARTEK programme (BID3A and BID3ABI projects).This paper includes partial results of the UPGRID project. This project has re-_x000D_ ceived funding from the European Unions Horizon 2020 research and innovation_x000D_ programme under grant agreement No 646.531), for further information check_x000D_ the website: http://upgrid.eu. As well as by the Basque Government through_x000D_ the ELKARTEK programme (BID3A and BID3ABI projects).http://www.scopus.com/inward/record.url?scp=85012219110&partnerID=8YFLogxK