000106168 001__ 106168
000106168 005__ 20230519145517.0
000106168 0247_ $$2doi$$a10.3390/electronics10070796
000106168 0248_ $$2sideral$$a124070
000106168 037__ $$aART-2021-124070
000106168 041__ $$aeng
000106168 100__ $$0(orcid)0000-0002-7008-7610$$aMartín-Arroyo, S.$$uUniversidad de Zaragoza
000106168 245__ $$aStand-alone hybrid power plant based on SiC solar PV and wind inverters with smart spinning reserve management
000106168 260__ $$c2021
000106168 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106168 5203_ $$aStand-alone hybrid power plants based on renewable energy sources are becoming a more and more interesting alternative. However, their management is a complex task because there are many variables, requirements and restrictions as well as a wide variety of possible scenarios. Though a proper sizing of the power plant is necessary to obtain a competitive cost of the energy, smart management is key to guarantee the power supply at a minimum cost. In this work, a novel hybrid power plant control strategy is designed, implemented and simulated under a wide variety of scenarios. Thereby, the proposed control algorithm aims to achieve maximum integration of renewable energy, reducing the usage of non-renewable generators as much as possible and guaranteeing the stability of the microgrid. Different scenarios and case studies have been analyzed by dynamic simulation to verify the proper operation of the power plant controller. The main novelties of this work are: (i) the stand-alone hybrid power plant management regarding a battery energy storage system as a part of the spinning reserve, (ii) the characterization of the largest loads as non-priority loads, (iii) the minimization of the needed spinning reserve and fuel consumption from diesel generators.
000106168 536__ $$9info:eu-repo/grantAgreement/EC/H2020/783158/EU/first and euRopEAn siC eigTh Inches pilOt liNe/REACTION$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 783158-REACTION
000106168 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000106168 590__ $$a2.69$$b2021
000106168 592__ $$a0.59$$b2021
000106168 594__ $$a3.7$$b2021
000106168 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b100 / 164 = 0.61$$c2021$$dQ3$$eT2
000106168 593__ $$aComputer Networks and Communications$$c2021$$dQ2
000106168 591__ $$aPHYSICS, APPLIED$$b82 / 161 = 0.509$$c2021$$dQ3$$eT2
000106168 593__ $$aSignal Processing$$c2021$$dQ2
000106168 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b139 / 277 = 0.502$$c2021$$dQ3$$eT2
000106168 593__ $$aHardware and Architecture$$c2021$$dQ2
000106168 593__ $$aControl and Systems Engineering$$c2021$$dQ2
000106168 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000106168 700__ $$0(orcid)0000-0002-1629-6083$$aCebollero, J.A.$$uUniversidad de Zaragoza
000106168 700__ $$0(orcid)0000-0002-5727-5705$$aGarcía-Gracia, M.$$uUniversidad de Zaragoza
000106168 700__ $$aLlamazares, Á.$$uUniversidad de Zaragoza
000106168 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000106168 773__ $$g10, 7 (2021), 796 [27 pp]$$pElectronics (Basel)$$tElectronics$$x2079-9292
000106168 8564_ $$s6037367$$uhttps://zaguan.unizar.es/record/106168/files/texto_completo.pdf$$yVersión publicada
000106168 8564_ $$s2832838$$uhttps://zaguan.unizar.es/record/106168/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000106168 909CO $$ooai:zaguan.unizar.es:106168$$particulos$$pdriver
000106168 951__ $$a2023-05-18-15:17:50
000106168 980__ $$aARTICLE