000110757 001__ 110757
000110757 005__ 20220223124038.0
000110757 0247_ $$2doi$$a10.1109/TSG.2016.2602268
000110757 0248_ $$2sideral$$a97880
000110757 037__ $$aART-2017-97880
000110757 041__ $$aeng
000110757 100__ $$aLujano-Rojas, Juan M.
000110757 245__ $$aOptimizing daily operation of battery energy storage systems under real-time pricing schemes
000110757 260__ $$c2017
000110757 5060_ $$aAccess copy available to the general public$$fUnrestricted
000110757 5203_ $$aModernization of electricity networks is currently being carried out using the concept of the smart grid; hence, the active participation of end-user consumers and distributed generators will be allowed in order to increase system efficiency and renewable power accommodation. In this context, this paper proposes a comprehensive methodology to optimally control lead-acid batteries operating under dynamic pricing schemes in both independent and aggregated ways, taking into account the effects of the charge controller operation, the variable efficiency of the power converter, and the maximum capacity of the electricity network. A genetic algorithm is used to solve the optimization problem in which the daily net cost is minimized. The effectiveness and computational efficiency of the proposed methodology is illustrated using real data from the Spanish electricity market during 2014 and 2015 in order to evaluate the effects of forecasting error of energy prices, observing an important reduction in the estimated benefit as a result of both factors: 1) forecasting error and 2) power system limitations.
000110757 536__ $$9info:eu-repo/grantAgreement/EC/FP7/309048/EU/Smart and Sustainable Insular Electricity Grids Under Large-Scale Renewable Integration/SINGULAR$$9info:eu-repo/grantAgreement/ES/MINECO/ENE2013-48517-C2-1-R
000110757 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000110757 590__ $$a7.364$$b2017
000110757 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b10 / 260 = 0.038$$c2017$$dQ1$$eT1
000110757 592__ $$a2.854$$b2017
000110757 593__ $$aComputer Science (miscellaneous)$$c2017$$dQ1
000110757 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000110757 700__ $$0(orcid)0000-0002-1490-6423$$aDufo-López, Rodolfo$$uUniversidad de Zaragoza
000110757 700__ $$0(orcid)0000-0003-2813-1240$$aBernal-Agustín, José L.$$uUniversidad de Zaragoza
000110757 700__ $$aCatalão, João P. S
000110757 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000110757 773__ $$g8, 1 (2017), 316-330$$pIEEE trans. smart grid$$tIEEE transactions on smart grid$$x1949-3053
000110757 8564_ $$s912091$$uhttps://zaguan.unizar.es/record/110757/files/texto_completo.pdf$$yPostprint
000110757 8564_ $$s2969574$$uhttps://zaguan.unizar.es/record/110757/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000110757 909CO $$ooai:zaguan.unizar.es:110757$$particulos$$pdriver
000110757 951__ $$a2022-02-23-11:07:59
000110757 980__ $$aARTICLE