Electrical thermal storage modeling: a tool to valuate new opportunities and bids for residential users in a deregulated market
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AuthorMolina García, Ángel; Gabaldón Marín, Antonio; Álvarez Bel, Carlos; Fuentes Moreno, Juan Álvaro; Gómez Lázaro, Emilio
Knowledge AreaIngeniería Eléctrica
SponsorsThe work described in this paper is financially supported by the Ministerio de Ciencia y Tecnologia of Spain, through a research project (Ref. DP12001-2779-C02-01). The authors are very grateful to the Spanish company Gabarrón-Elnur S.A. for the generous cession of its commercial ETS appliances in order to test them and for its support to this research.
PublisherInstitute of Electrical and Electronics Engineers (IEEE).
Bibliographic CitationMOLINA, A., GABALDÓN, A., ÁLVAREZ. C., FUENTES. J.A., GÓMEZ, E. Electrical thermal storage modeling: a tool to valuate new opportunities and bids for residential users in a deregulated market. En: IEEE Bologna PowerTech ( 2003: Bologna, Italia ). 2003 IEEE Bologna PowerTech: Conference Proceedings, vol.4. Junio 23 - 26, 2003. Bologna, Italia: Institute of Electrical and Electronics Engineers. 2003. 6 p. ISBN 0-7803-7967-5
KeywordsModelado de carga residencial
Almacenamiento térmico eléctrico
Demanda de ofertas
Residential load modeling
Electrical thermal storage
Demand side bidding
The purpose ofthis paper is to describe a useful tool for the initial analysis to assess the possibilities of residential Electric Thermal Storage (ETS), taking into account heat storage and cool storage devices. These load models are based on an energy balance between the indoor environment, the dwelling constructive parameters, the ETS device and the internal mass through a discrete statespace equation system. The main application of this load model has been oriented towards the simulation of ETS performance in order to evaluate the possibilities of Load Management in the new de-regulated structures of Electrical Power Systems. The proposed model has been implemented and validated for heat storage, using real data collected during the last years in residential areas to evaluate its accuracy and flexibility. Finally, a simulation case study is presented to show the possibilities of modifying the actual residential demand profile through a storage period re-scheduling proposed by the ...
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