000129720 001__ 129720
000129720 005__ 20240109145019.0
000129720 0247_ $$2doi$$a10.1109/ETFA.2019.8869314
000129720 0248_ $$2sideral$$a115924
000129720 037__ $$aART-2019-115924
000129720 041__ $$aeng
000129720 100__ $$aFernández, G.
000129720 245__ $$aControl structure for optimal demand-side management with a multi-technology battery storage system
000129720 260__ $$c2019
000129720 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129720 5203_ $$aDemand-side management (DSM) is proposed as a key solution to increase electric system flexibility, essential for large-scale deployment of renewable energy generation. System flexibility is required to avoid congestions in electric systems and reduce costs for network operators and consumers. IoT deployment, real-time pricing and cost reductions for electric energy storage opens new opportunities for DSM tools, which help matching demand with variable renewable generation. This paper describes the control structure developed, implemented and tested in real demonstrators to deploy demand management programs to reduce energy bills of industrial customers. This structure operates at two stages: remotely, to calculate economically optimal consumption and ESS operation set points and locally to adapt the forecast-based economic program to real-time conditions. The described DSM structure has been developed within a national Spanish research project called EV-OPTIMANAGER.
000129720 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000129720 592__ $$a0.365$$b2019
000129720 593__ $$aComputer Science Applications$$c2019
000129720 593__ $$aIndustrial and Manufacturing Engineering$$c2019
000129720 593__ $$aElectrical and Electronic Engineering$$c2019
000129720 593__ $$aControl and Systems Engineering$$c2019
000129720 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000129720 700__ $$aAlmajano, J.
000129720 700__ $$0(orcid)0000-0003-2457-0422$$aGarcía, E.$$uUniversidad de Zaragoza
000129720 700__ $$0(orcid)0000-0002-3441-7133$$aBludszuweit, H.
000129720 700__ $$aMacHín, S.
000129720 700__ $$aSanz, J.F.
000129720 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000129720 773__ $$g2019-September (2019), 754-759$$pProc. (IEEE Int. Conf. Emerg. Technol. Fact. Autom.)$$tProceedings (IEEE International Conference on Emerging Technologies and Factory Automation)$$x1946-0740
000129720 8564_ $$s934758$$uhttps://zaguan.unizar.es/record/129720/files/texto_completo.pdf$$yPostprint
000129720 8564_ $$s2737726$$uhttps://zaguan.unizar.es/record/129720/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000129720 909CO $$ooai:zaguan.unizar.es:129720$$particulos$$pdriver
000129720 951__ $$a2024-01-09-13:08:26
000129720 980__ $$aARTICLE