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000087598 0247_ $$2doi$$a10.3390/app9235221
000087598 0248_ $$2sideral$$a115810
000087598 037__ $$aART-2019-115810
000087598 041__ $$aeng
000087598 100__ $$0(orcid)0000-0002-5801-0602$$aLujano-Rojas, Juan M.$$uUniversidad de Zaragoza
000087598 245__ $$aDay-ahead optimal battery operation in islanded hybrid energy systems and its impact on greenhouse gas emissions
000087598 260__ $$c2019
000087598 5060_ $$aAccess copy available to the general public$$fUnrestricted
000087598 5203_ $$aThis paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.
000087598 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/ENE2016-77172-R$$9info:eu-repo/grantAgreement/ES/DGA/T28-17R-Building Aragon from Europe
000087598 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000087598 590__ $$a2.474$$b2019
000087598 591__ $$aPHYSICS, APPLIED$$b62 / 154 = 0.403$$c2019$$dQ2$$eT2
000087598 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b32 / 91 = 0.352$$c2019$$dQ2$$eT2
000087598 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b88 / 176 = 0.5$$c2019$$dQ2$$eT2
000087598 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b161 / 314 = 0.513$$c2019$$dQ3$$eT2
000087598 592__ $$a0.418$$b2019
000087598 593__ $$aEngineering (miscellaneous)$$c2019$$dQ1
000087598 593__ $$aFluid Flow and Transfer Processes$$c2019$$dQ2
000087598 593__ $$aProcess Chemistry and Technology$$c2019$$dQ2
000087598 593__ $$aInstrumentation$$c2019$$dQ2
000087598 593__ $$aMaterials Science (miscellaneous)$$c2019$$dQ2
000087598 593__ $$aComputer Science Applications$$c2019$$dQ3
000087598 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000087598 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, José M.$$uUniversidad de Zaragoza
000087598 700__ $$0(orcid)0000-0001-7764-235X$$aArtal-Sevil, Jesús Sergio$$uUniversidad de Zaragoza
000087598 700__ $$0(orcid)0000-0002-4770-0069$$aDomínguez-Navarro, José Antonio$$uUniversidad de Zaragoza
000087598 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000087598 773__ $$g9, 23 (2019), 5221 [30 pp.]$$pAppl. sci.$$tApplied Sciences (Switzerland)$$x2076-3417
000087598 8564_ $$s8105827$$uhttps://zaguan.unizar.es/record/87598/files/texto_completo.pdf$$yVersión publicada
000087598 8564_ $$s107658$$uhttps://zaguan.unizar.es/record/87598/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000087598 951__ $$a2023-09-13-10:47:35
000087598 980__ $$aARTICLE