87598 20230914083239.0 doi 10.3390/app9235221 sideral 115810 ART-2019-115810 eng Lujano-Rojas, Juan M. Universidad de Zaragoza (orcid)0000-0002-5801-0602 Day-ahead optimal battery operation in islanded hybrid energy systems and its impact on greenhouse gas emissions 2019 Access copy available to the general public Unrestricted This 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. info:eu-repo/grantAgreement/ES/DGA/T28-17R-Building Aragon from Europe info:eu-repo/grantAgreement/ES/MINECO/ENE2016-77172-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.474 2019 PHYSICS, APPLIED 62 / 154 = 0.403 2019 Q2 T2 ENGINEERING, MULTIDISCIPLINARY 32 / 91 = 0.352 2019 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 88 / 176 = 0.5 2019 Q2 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 161 / 314 = 0.513 2019 Q3 T2 0.418 2019 Engineering (miscellaneous) 2019 Q1 Fluid Flow and Transfer Processes 2019 Q2 Process Chemistry and Technology 2019 Q2 Instrumentation 2019 Q2 Materials Science (miscellaneous) 2019 Q2 Computer Science Applications 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Yusta, José M. Universidad de Zaragoza (orcid)0000-0003-3174-9703 Artal-Sevil, Jesús Sergio Universidad de Zaragoza (orcid)0000-0001-7764-235X Domínguez-Navarro, José Antonio Universidad de Zaragoza (orcid)0000-0002-4770-0069 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 9, 23 (2019), 5221 [30 pp.] Appl. sci. Applied Sciences (Switzerland) 2076-3417 8105827 http://zaguan.unizar.es/record/87598/files/texto_completo.pdf Versión publicada 107658 http://zaguan.unizar.es/record/87598/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:87598 articulos driver 2023-09-13-10:47:35 ARTICLE