000144756 001__ 144756 000144756 005__ 20240906111328.0 000144756 0247_ $$2doi$$a10.24084/reepqj24.395 000144756 0248_ $$2sideral$$a139489 000144756 037__ $$aART-2024-139489 000144756 041__ $$aeng 000144756 100__ $$0(orcid)0000-0002-1490-6423$$aDufo López, Rodolfo$$uUniversidad de Zaragoza 000144756 245__ $$aShort term energy management in stand-alone PV-battery-diesel systems 000144756 260__ $$c2024 000144756 5060_ $$aAccess copy available to the general public$$fUnrestricted 000144756 5203_ $$aIn this work, the short term (daily) operation of an off-grid hybrid PV-diesel-battery system is optimized by genetic algorithms. An integer variable (0, 1 or 2) for each hour of the day decides the way the battery works. With the forecast of the hourly irradiation, temperature and load consumption for the next day, and estimating the state of charge of the battery (SOC) at the first hour of the day, we perform the optimization of the integer variables for the 24 hours of next day. To avoid inadmissible computation time, the optimization is performed by using genetic algorithms (GA) obtaining in roughly 1 hour the optimal solution or a solution near the optimal one. The optimization tries to obtain the minimal total cost of the daily operation while supplying the whole load. We compare the results of the optimization with the typical control strategies (load following, cycle charging and set point strategies), obtaining better results with the new optimized strategy. The reduction in the operational cost obtained varies from 2.5% to 62%, compared to the typical control strategies (load following or cycle charging). 000144756 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2021-123172OB-I00 000144756 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000144756 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000144756 700__ $$0(orcid)0000-0002-5801-0602$$aLujano-Rojas, Juan M.$$uUniversidad de Zaragoza 000144756 700__ $$0(orcid)0000-0003-2813-1240$$aBernal-Agustín, José L.$$uUniversidad de Zaragoza 000144756 700__ $$0(orcid)0000-0001-7764-235X$$aArtal-Sevil, Jesús S.$$uUniversidad de Zaragoza 000144756 700__ $$0(orcid)0000-0002-1704-1584$$aBayod-Rújula, Ángel A.$$uUniversidad de Zaragoza 000144756 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica 000144756 773__ $$g2 (2024), 233-239$$pRenew. Energ., Environ. Power Qual. J.$$tRenewable Energies, Environment & Power Quality Journal$$x3020-531X 000144756 8564_ $$s872489$$uhttps://zaguan.unizar.es/record/144756/files/texto_completo.pdf$$yVersión publicada 000144756 8564_ $$s2265720$$uhttps://zaguan.unizar.es/record/144756/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000144756 909CO $$ooai:zaguan.unizar.es:144756$$particulos$$pdriver 000144756 951__ $$a2024-09-06-10:25:28 000144756 980__ $$aARTICLE