000078859 001__ 78859
000078859 005__ 20220208112846.0
000078859 0247_ $$2doi$$a10.3390/en12040616
000078859 0248_ $$2sideral$$a111232
000078859 037__ $$aART-2019-111232
000078859 041__ $$aeng
000078859 100__ $$0(orcid)0000-0002-5801-0602$$aLujano-Rojas, J.M.$$uUniversidad de Zaragoza
000078859 245__ $$aMitigating energy system vulnerability by implementing a microgrid with a distributed management algorithm
000078859 260__ $$c2019
000078859 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078859 5203_ $$aThis work presents a management strategy for microgrid (MG) operation. Photovoltaic (PV) and wind generators, as well as storage systems and conventional units, are distributed over a wide geographical area, forming a distributed energy system, which is coordinated to face any contingency of the utility company by means of its isolated operation. The management strategy divides the system into three main layers: renewable generation, storage devices, and conventional units. Interactions between devices of the same layer are determined by solving an economic dispatch problem (EDP) in a distributed manner using a consensus algorithm (CA), and interactions between layers are determined by means of a load following strategy. In this way, the complex behaviour of PV and wind generation, the battery storage system, and conventional units has been effectively combined with CA to solve EDP in a distributed manner. MG performance and its vulnerability are deeply analysed by means of an illustrative case study. From the observed results, vulnerability under extreme conditions could be reduced up to approximately 30% by coupling distributed renewable generation and storage capacity with an energy system based on conventional generation.
000078859 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/ENE2016-77172-R$$9info:eu-repo/grantAgreement/ES/DGA/T28-17R-Building Aragon from Europe
000078859 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000078859 590__ $$a2.702$$b2019
000078859 592__ $$a0.635$$b2019
000078859 591__ $$aENERGY & FUELS$$b63 / 112 = 0.562$$c2019$$dQ3$$eT2
000078859 593__ $$aControl and Optimization$$c2019$$dQ2
000078859 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ2
000078859 593__ $$aRenewable Energy, Sustainability and the Environment$$c2019$$dQ2
000078859 593__ $$aEnergy Engineering and Power Technology$$c2019$$dQ2
000078859 593__ $$aFuel Technology$$c2019$$dQ2
000078859 593__ $$aEnergy (miscellaneous)$$c2019$$dQ2
000078859 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000078859 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, J.M.$$uUniversidad de Zaragoza
000078859 700__ $$0(orcid)0000-0002-4770-0069$$aDomínguez-Navarro, J.A.$$uUniversidad de Zaragoza
000078859 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000078859 773__ $$g12, 4 (2019), 616 [30 pp]$$pENERGIES$$tEnergies$$x1996-1073
000078859 8564_ $$s668726$$uhttps://zaguan.unizar.es/record/78859/files/texto_completo.pdf$$yVersión publicada
000078859 8564_ $$s103903$$uhttps://zaguan.unizar.es/record/78859/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000078859 909CO $$ooai:zaguan.unizar.es:78859$$particulos$$pdriver
000078859 951__ $$a2022-02-08-11:24:01
000078859 980__ $$aARTICLE