000131171 001__ 131171
000131171 005__ 20240206154529.0
000131171 0247_ $$2doi$$a10.1016/j.ijepes.2018.08.001
000131171 0248_ $$2sideral$$a107497
000131171 037__ $$aART-2019-107497
000131171 041__ $$aeng
000131171 100__ $$0(orcid)0000-0002-4770-0069$$aDomínguez-Navarro, J.A.$$uUniversidad de Zaragoza
000131171 245__ $$aDesign of an electric vehicle fast-charging station with integration of renewable energy and storage systems
000131171 260__ $$c2019
000131171 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131171 5203_ $$aThe development of electric vehicles (EVs) depends on several factors: the EV''s acquisition price, autonomy, the charging process and the charging infrastructure. This paper is focused on the last factor: the design of an EV fast-charging station. In order to improve the profitability of the fast-charging stations and to decrease the high energy demanded from the grid, the station includes renewable generation (wind and photovoltaic) and a storage system. Unlike other papers, this one uses a detailed model of the charging process that considers the arrival time and state of charge of electric vehicles. First, the Monte Carlo method is used to model the EV demand and the renewable generation. Later, a genetic algorithm (GA) optimizes the installation and operation of the EV fast-charging station. It finds the optimal solution that maximizes the profit measured by its net present value (NPV). Several cases are studied to analyse the influence of renewable energies and storage systems. The obtained results show that a mix of renewable energies and storage systems attains the best cost efficient solution.
000131171 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000131171 590__ $$a3.588$$b2019
000131171 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b66 / 265 = 0.249$$c2019$$dQ1$$eT1
000131171 592__ $$a1.203$$b2019
000131171 593__ $$aEnergy Engineering and Power Technology$$c2019$$dQ1
000131171 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ1
000131171 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000131171 700__ $$0(orcid)0000-0002-1490-6423$$aDufo-López, R.$$uUniversidad de Zaragoza
000131171 700__ $$0(orcid)0000-0003-3174-9703$$aYusta-Loyo, J.M.$$uUniversidad de Zaragoza
000131171 700__ $$0(orcid)0000-0001-7764-235X$$aArtal-Sevil, J.S.$$uUniversidad de Zaragoza
000131171 700__ $$0(orcid)0000-0003-2813-1240$$aBernal-Agustín, J.L.$$uUniversidad de Zaragoza
000131171 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000131171 773__ $$g105 (2019), 46-58$$pInt. J. Electr. Power Energy Syst.$$tINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS$$x0142-0615
000131171 8564_ $$s1391139$$uhttps://zaguan.unizar.es/record/131171/files/texto_completo.pdf$$yPostprint
000131171 8564_ $$s2061269$$uhttps://zaguan.unizar.es/record/131171/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000131171 909CO $$ooai:zaguan.unizar.es:131171$$particulos$$pdriver
000131171 951__ $$a2024-02-06-14:46:24
000131171 980__ $$aARTICLE