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dc.contributor.authorGil González, Walter Julián
dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorGrisales-Noreña, Luis Fernando
dc.contributor.authorLeonardo Trujillo, Cesar
dc.contributor.authorGiral-Ramírez, Diego Armando
dc.date.accessioned2022-09-29T13:26:15Z
dc.date.available2022-09-29T13:26:15Z
dc.date.issued2022-06-20
dc.date.submitted2022-09-28
dc.identifier.citationGil González, Walter & Montoya Giraldo, Oscar & Grisales-Noreña, Luis & Trujillo, Cesar & Giral-Ramírez, Diego. (2022). A mixed-integer second-order cone model for optimal siting and sizing of dynamic reactive power compensators in distribution grids. 15. 100475. 10.1016/j.rineng.2022.100475.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/11122
dc.description.abstractThe problem of the optimal placement and sizing of dynamic reactive power compensators in AC distribution networks is addressed in this paper from convex optimization. The exact mixed-integer nonlinear programming (MINLP) model is transformed into a mixed-integer second-order cone programming (MISOCP) model. The main advantage of the MISOCP formulation is the possibility of finding a global optimum with branch & cut combined with interior-point method due to the convex structure of the continuous part of the problem, i.e., the multi-period branch optimal power flow. The dynamic reactive power compensators are sized and dimensioned considering daily load curves and variable reactive power injections. Numerical validations are tested in the 33- and 69-bus test feeders using the CVX tool available for MATLAB with the MOSEK solver. These simulations demonstrate the effectiveness and robustness of the MISOCP approach when compared with the solution of the exact MINLP obtained in the GAMS software.spa
dc.format.extent7 Páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceScienceDirect - Elsevier - Results in Engineering Vol. 15 (2022)spa
dc.titleA mixed-integer second-order cone model for optimal siting and sizing of dynamic reactive power compensators in distribution gridsspa
dcterms.bibliographicCitationR.A. Soumana, M.J. Saulo, C.M. Muriithi New control strategy for multifunctional grid-connected photovoltaic systems Res. Eng., 14 (2022), Article 100422, 10.1016/j.rineng.2022.100422spa
dcterms.bibliographicCitationO.D. Montoya, D.A. Giral-Ramírez, L.F. Grisales-Noreña Optimal economic-environmental dispatch in MT-HVDC systems via sine-cosine algorithm Res. Eng., 13 (2022), Article 100348, 10.1016/j.rineng.2022.100348spa
dcterms.bibliographicCitationJ. Jardini, C. Tahan, M. Gouvea, S. Ahn, F. Figueiredo Daily load profiles for residential, commercial and industrial low voltage consumers IEEE Trans. Power Deliv., 15 (1) (2000), pp. 375-380, 10.1109/61.847276spa
dcterms.bibliographicCitationS. Rahimzadeh, M.T. Bina Looking for optimal number and placement of facts devices to manage the transmission congestion Energy Convers. Manag., 52 (1) (2011), pp. 437-446spa
dcterms.bibliographicCitationV. Tuzikova, J. Tlusty, Z. Muller A novel power losses reduction method based on a particle swarm optimization algorithm using STATCOM Energies, 11 (10) (2018), p. 2851spa
dcterms.bibliographicCitationS. Abba, B.G. Najashi, A. Rotimi, B. Musa, N. Yimen, S. Kawu, S. Lawan, M. Dagbasi Emerging harris hawks optimization based load demand forecasting and optimal sizing of stand-alone hybrid renewable energy systems– a case study of Kano and Abuja, Nigeria Res. Eng., 12 (2021), Article 100260, 10.1016/j.rineng.2021.100260spa
dcterms.bibliographicCitationL.A.G. Pareja, J.M.L. Lezama, O.G. Carmona Optimal placement of capacitors, voltage regulators, and distributed generators in electric power distribution systems Ingenieria, 25 (3) (2020), pp. 334-354, 10.14483/23448393.16925spa
dcterms.bibliographicCitationA. Ghosh, G. Ledwich Power Quality Enhancement Using Custom Power Devices Springer science & business media (2012)spa
dcterms.bibliographicCitationM. Falahi, K. Butler-Purry, M. Ehsani Dynamic reactive power control of islanded microgrids IEEE Trans. Power Syst., 28 (4) (2013), pp. 3649-3657spa
dcterms.bibliographicCitationD. Yang, S. Hong, H. Cheng, L. Yao A novel dynamic reactive power planning methodology to enhance transient voltage stability Int. Trans. Electr. Energy Syst., 27 (10) (2017), Article e2390spa
dcterms.bibliographicCitationM. Moghbel, M.A. Masoum, A. Fereidouni, S. Deilami Optimal sizing, siting and operation of custom power devices with STATCOM and APLC functions for real-time reactive power and network voltage quality control of smart grid IEEE Trans. Smart Grid, 9 (6) (2017), pp. 5564-5575spa
dcterms.bibliographicCitationW. Gil-González, O.D. Montoya, A. Rajagopalan, L.F. Grisales-Noreña, J.C. Hernández Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm Energies, 13 (18) (2020), p. 4914, 10.3390/en13184914spa
dcterms.bibliographicCitationW. Gil-González, A. Molina-Cabrera, O.D. Montoya, L.F. Grisales-Noreña An MI-SDP model for optimal location and sizing of distributed generators in DC grids that guarantees the global optimum Appl. Sci., 10 (21) (2020), p. 7681, 10.3390/app10217681spa
dcterms.bibliographicCitationF. Li, J.D. Pilgrim, C. Dabeedin, A. Chebbo, R. Aggarwal Genetic algorithms for optimal reactive power compensation on the national grid system IEEE Trans. Power Syst., 20 (1) (2005), pp. 493-500spa
dcterms.bibliographicCitationL.R. De Araujo, D.R.R. Penido, S. Carneiro Jr., J.L.R. Pereira Optimal unbalanced capacitor placement in distribution systems for voltage control and energy losses minimization Elec. Power Syst. Res., 154 (2018), pp. 110-121spa
dcterms.bibliographicCitationS. Udgir, L. Srivastava, M. Pandit Optimal placement and sizing of SVC for loss minimization and voltage security improvement using differential evolution algorithm International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), IEEE (2014), pp. 1-6spa
dcterms.bibliographicCitationJ. Sanam, S. Ganguly, A. Panda, C. Hemanth Optimization of energy loss cost of distribution networks with the optimal placement and sizing of dstatcom using differential evolution algorithm Arabian J. Sci. Eng., 42 (7) (2017), pp. 2851-2865spa
dcterms.bibliographicCitationA. Lakum, V. Mahajan Optimal placement and sizing of multiple active power filters in radial distribution system using grey wolf optimizer in presence of nonlinear distributed generation Elec. Power Syst. Res., 173 (2019), pp. 281-290spa
dcterms.bibliographicCitationK. Sórensen Metaheuristics—the metaphor exposed Int. Trans. Oper. Res., 22 (1) (2015), pp. 3-18spa
dcterms.bibliographicCitationF. Héliodore, A. Nakib, B. Ismail, S. Ouchraa, L. Schmitt Metaheuristics for Intelligent Electrical Networks Wiley Online Library (2017)spa
dcterms.bibliographicCitationH.Y. Benson Ümit sağlam, mixed-integer second-order cone programming: a survey Theory Driven by Influential Applications, INFORMS (2013), pp. 13-36, 10.1287/educ.2013.0115spa
dcterms.bibliographicCitationM. Farivar, S.H. Low Branch flow model: relaxations and convexification—part i IEEE Trans. Power Syst., 28 (3) (2013), pp. 2554-2564, 10.1109/tpwrs.2013.2255317spa
dcterms.bibliographicCitationO.D. Montoya Notes on the dimension of the solution space in typical electrical engineering optimization problems Ingenieria, 27 (2) (2022), Article e19310, 10.14483/23448393.19310spa
dcterms.bibliographicCitationF. Alizadeh, D. Goldfarb Second-order cone programming Math. Program., 95 (1) (2003), pp. 3-51, 10.1007/s10107-002-0339-5spa
dcterms.bibliographicCitationG. Lan Convex optimization theory First-order and Stochastic Optimization Methods for Machine Learning, Springer International Publishing (2020), pp. 21-51, 10.1007/978-3-030-39568-1_2spa
dcterms.bibliographicCitationW. Gil-González, A. Garces, O.D. Montoya, J.C. Hernández A mixed-integer convex model for the optimal placement and sizing of distributed generators in power distribution networks Appl. Sci., 11 (2) (2021), p. 627, 10.3390/app11020627spa
dcterms.bibliographicCitationW. Melo, M. Fampa, F. Raupp An overview of MINLP algorithms and their implementation in Muriqui Optimizer Ann. Oper. Res., 286 (1–2) (2018), pp. 217-241, 10.1007/s10479-018-2872-5spa
dcterms.bibliographicCitationO.D. Montoya, W. Gil-González, F.M. Serra, J.C. Hernández, A. Molina-Cabrera A second-order cone programming reformulation of the economic dispatch problem of BESS for apparent power compensation in AC distribution networks Electronics, 9 (10) (2020), p. 1677, 10.3390/electronics9101677spa
dcterms.bibliographicCitationO.D. Montoya, W. Gil-González, L. Grisales-Noreña An exact MINLP model for optimal location and sizing of DGs in distribution networks: a general algebraic modeling system approach Ain Shams Eng. J., 11 (2) (2020), pp. 409-418, 10.1016/j.asej.2019.08.011spa
dcterms.bibliographicCitationO.D. Montoya, W. Gil-González Dynamic active and reactive power compensation in distribution networks with batteries: a day-ahead economic dispatch approach Comput. Electr. Eng., 85 (2020), Article 106710, 10.1016/j.compeleceng.2020.10671spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/restrictedAccessspa
dc.identifier.doihttps://doi.org/10.1016/j.rineng.2022.100475
dc.subject.keywordsDynamic reactive power compensatorsspa
dc.subject.keywordsMixed-integer convex optimizationspa
dc.subject.keywordsRadial distribution networksspa
dc.subject.keywordsSecond-order cone programmingspa
dc.subject.keywordsBranch optimal power flowspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_2df8fbb1spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_2df8fbb1spa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.