110639 20220215124222.0 doi 10.1016/j.ijepes.2017.10.037 sideral 104138 ART-2018-104138 eng Lujano-Rojas, J.M. Novel probabilistic optimization model for lead-acid and vanadium redox flow batteries under real-time pricing programs 2018 The integration of storage systems into smart grids is being widely analysed in order to increase the flexibility of the power system and its ability to accommodate a higher share of wind and solar power. The success of this process requires a comprehensive techno-economic study of the storage technology in contrast with electricity market behaviour. The focus of this work is on lead-acid and vanadium redox flow batteries. This paper presents a novel probabilistic optimization model for managing energy storage systems. The model is able to incorporate the forecasting error of electricity prices, offering with this a near-optimal control option. Using real data from the Spanish electricity market from the year 2016, the probability distribution of forecasting error is determined. The model determines electricity price uncertainty by means of Monte Carlo Simulation and includes it in the energy arbitrage problem, which is eventually solved by using an integer-coded genetic algorithm. In this way, the probability distribution of the revenue is determined with consideration of the complex behaviours of lead-acid and vanadium redox flow batteries as well as their associated operating devices such as power converters. Access copy available to the general public Unrestricted info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.418 2018 ENGINEERING, ELECTRICAL & ELECTRONIC 46 / 265 = 0.174 2018 Q1 T1 1.26 2018 Energy Engineering and Power Technology 2018 Q1 Electrical and Electronic Engineering 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion Zubi, G. Dufo-López, R. Universidad de Zaragoza (orcid)0000-0002-1490-6423 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 97 (2018), 72-84 Int. J. Electr. Power Energy Syst. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 0142-0615 815223 http://zaguan.unizar.es/record/110639/files/texto_completo.pdf Preprint 1916936 http://zaguan.unizar.es/record/110639/files/texto_completo.jpg?subformat=icon icon Preprint oai:zaguan.unizar.es:110639 articulos driver 2022-02-15-10:18:46 ARTICLE