000151675 001__ 151675
000151675 005__ 20250319155217.0
000151675 0247_ $$2doi$$a10.3390/batteries11020070
000151675 0248_ $$2sideral$$a143235
000151675 037__ $$aART-2025-143235
000151675 041__ $$aeng
000151675 100__ $$0(orcid)0000-0002-1490-6423$$aDufo-López, Rodolfo$$uUniversidad de Zaragoza
000151675 245__ $$aOptimization of Size and Operation of Stand-Alone Renewable-Based Systems with Diesel and Hybrid Pumped Hydro Storage–Battery Storage Considering Uncertainties
000151675 260__ $$c2025
000151675 5060_ $$aAccess copy available to the general public$$fUnrestricted
000151675 5203_ $$aCurrently, the electrical supply in stand-alone systems is usually composed of renewable sources with fossil-fuel generators and battery storage. This study shows a novel model for the metaheuristic–stochastic optimization (minimization of the net present cost, and NPC) of sizing and energy management for stand-alone photovoltaic (PV)–wind–diesel systems with hybrid pumped hydro storage (PHS)–battery storage systems. The model is implemented in C++ programming language. To optimize operations—thus reducing PHS losses and increasing battery lifetimes—optimal energy management can optimize the power limits of using the PHS or battery to supply or store energy. The probabilistic approach considers the variability of wind speed, irradiation, temperature, load, and diesel fuel price inflation. The variable efficiencies of the components and losses and advanced models for battery degradation are considered. This methodology was applied to Graciosa Island (Portugal), showing that, compared with the current system, the optimal system (with a much higher renewable power and a hybrid PHS–battery storage) can reduce the NPC by half, reduce life cycle emissions to 14%, expand renewable penetration to 96%, and reduce the reserve capacity shortage to zero.
000151675 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2021-123172OB-I00$$9info:eu-repo/grantAgreement/EUR/AEI/TED2021-129801B-I00$$9info:eu-repo/grantAgreement/EUR/ISCII-ERDF/A way to make Europe
000151675 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000151675 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000151675 700__ $$0(orcid)0000-0002-5801-0602$$aLujano-Rojas, Juan M.$$uUniversidad de Zaragoza
000151675 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000151675 773__ $$g11, 2 (2025), 70 [32 pp.]$$tBatteries$$x2313-0105
000151675 8564_ $$s6321730$$uhttps://zaguan.unizar.es/record/151675/files/texto_completo.pdf$$yVersión publicada
000151675 8564_ $$s2618292$$uhttps://zaguan.unizar.es/record/151675/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000151675 909CO $$ooai:zaguan.unizar.es:151675$$particulos$$pdriver
000151675 951__ $$a2025-03-19-14:20:34
000151675 980__ $$aARTICLE