110756 20220223124038.0 doi 10.1016/j.apenergy.2016.07.018 sideral 96149 ART-2016-96149 eng Lujano-Rojas, J. Operating conditions of lead-acid batteries in the optimization of hybrid energy systems and microgrids 2016 The promotion and deployment of storage technologies in autonomous and grid-connected systems plays a relevant part in the massive integration of renewable power sources required for the worldwide development of a sustainable society. In this regard, analyzing the behavior of electrochemical storage devices such as lead-acid batteries installed on hybrid energy systems and microgrids in terms of their lifetime and economic profitability is an important research topic. Since renewable generation is characterized by its random nature, lead-acid batteries typically work under stress conditions, which directly influence their lifetime in a negative way by increasing the net present cost. Due to the fast growing of renewable sources as a consequence of governmental policies and incentives, the number of manufacturers to be considered worldwide is becoming really high, so that optimization techniques such as genetic algorithms (GAs) are frequently used in order to consider the performance of a high number of manufacturers of wind turbines, photovoltaic panels and lead-acid batteries subject to the environmental conditions of the location under analysis to determine a cost-effective design. In this paper, GA method combined with weighted Ah ageing model is improved by including expert experiences by means of stress factors and the categorization of operating conditions, as a new contribution to earlier studies. The effectiveness of the proposed method is illustrated by analyzing a hybrid energy system to be installed in Zaragoza, Spain, resulting in a near-optimal design in a reduced computational time compared to the enumerative optimization method. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/EC/FP7/309048/EU/Smart and Sustainable Insular Electricity Grids Under Large-Scale Renewable Integration/SINGULAR info:eu-repo/grantAgreement/ES/MINECO/ENE2013-48517-C2-1-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 7.182 2016 ENGINEERING, CHEMICAL 4 / 135 = 0.03 2016 Q1 T1 ENERGY & FUELS 6 / 92 = 0.065 2016 Q1 T1 3.011 2016 Building and Construction 2016 Q1 Civil and Structural Engineering 2016 Q1 Energy (miscellaneous) 2016 Q1 Nuclear Energy and Engineering 2016 Q1 Fuel Technology 2016 Q1 Management, Monitoring, Policy and Law 2016 Q1 Mechanical Engineering 2016 Q1 Energy Engineering and Power Technology 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Dufo-López, R. Universidad de Zaragoza (orcid)0000-0002-1490-6423 Atencio-Guerra, J. Rodrigues, E. M. G. Bernal-Agustín, J. L. Universidad de Zaragoza (orcid)0000-0003-2813-1240 Catalão, J. P. S. 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 179 (2016), 590-600 Appl. energy Applied Energy 0306-2619 843013 http://zaguan.unizar.es/record/110756/files/texto_completo.pdf Postprint 2180420 http://zaguan.unizar.es/record/110756/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:110756 articulos driver 2022-02-23-11:07:53 ARTICLE