000084387 001__ 84387
000084387 005__ 20230914083238.0
000084387 0247_ $$2doi$$a10.3390/app9183854
000084387 0248_ $$2sideral$$a114012
000084387 037__ $$aART-2019-114012
000084387 041__ $$aeng
000084387 100__ $$aGarcía Vera, Yimy E.
000084387 245__ $$aEnergy management in microgrids with renewable energy sources: A literature review
000084387 260__ $$c2019
000084387 5060_ $$aAccess copy available to the general public$$fUnrestricted
000084387 5203_ $$aRenewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the intermittent nature of renewable energy, energy storage technology is considered to be an attractive option due to increased technological maturity, energy density, and capability of providing grid services such as frequency response. Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.
000084387 536__ $$9info:eu-repo/grantAgreement/ES/DGA/28850
000084387 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000084387 590__ $$a2.474$$b2019
000084387 591__ $$aPHYSICS, APPLIED$$b62 / 154 = 0.403$$c2019$$dQ2$$eT2
000084387 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b32 / 91 = 0.352$$c2019$$dQ2$$eT2
000084387 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b88 / 176 = 0.5$$c2019$$dQ2$$eT2
000084387 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b161 / 314 = 0.513$$c2019$$dQ3$$eT2
000084387 592__ $$a0.418$$b2019
000084387 593__ $$aEngineering (miscellaneous)$$c2019$$dQ1
000084387 593__ $$aFluid Flow and Transfer Processes$$c2019$$dQ2
000084387 593__ $$aProcess Chemistry and Technology$$c2019$$dQ2
000084387 593__ $$aInstrumentation$$c2019$$dQ2
000084387 593__ $$aMaterials Science (miscellaneous)$$c2019$$dQ2
000084387 593__ $$aComputer Science Applications$$c2019$$dQ3
000084387 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000084387 700__ $$0(orcid)0000-0002-1490-6423$$aDufo-López, Rodolfo$$uUniversidad de Zaragoza
000084387 700__ $$0(orcid)0000-0003-2813-1240$$aBernal-Agustín, José L.$$uUniversidad de Zaragoza
000084387 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000084387 773__ $$g9, 18 (2019), 3854 [28 pp.]$$pAppl. sci.$$tApplied Sciences (Switzerland)$$x2076-3417
000084387 8564_ $$s829268$$uhttps://zaguan.unizar.es/record/84387/files/texto_completo.pdf$$yVersión publicada
000084387 8564_ $$s111333$$uhttps://zaguan.unizar.es/record/84387/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000084387 909CO $$ooai:zaguan.unizar.es:84387$$particulos$$pdriver
000084387 951__ $$a2023-09-13-10:47:02
000084387 980__ $$aARTICLE