Residential load forecasting under a demand response program based on economic incentives

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dc.contributor.authorRuiz, Nerea
dc.contributor.authorClaessens, Bert
dc.contributor.authorJimeno, Joseba
dc.contributor.authorLopez, Jose Antonio
dc.contributor.authorSix, Daan
dc.contributor.institutionPOWER SYSTEMS
dc.date.issued2015-08-01
dc.descriptionPublisher Copyright: Copyright © 2014 John Wiley & Sons, Ltd.
dc.description.abstractThis paper describes a tool for an Aggregator to forecast the aggregated load demand response of a group of domestic customers subscribed to an indirect load control program based on price/volume signals. The tool employs a bottom-up approach based on physical end-use load models where the individual responses of a random sample of customers are combined in order to build the aggregated load demand response model. Simulation of the individual responses is carried out with an optimization algorithm based on mixed integer linear programming that minimizes the electricity bill whilst maintaining consumer's comfort level. To improve the performance of the model, a genetic algorithm for fitting the input parameters according to measured data is also provided. The tool is intended to allow the Aggregator rehearsing the impact of different control strategies and therefore choosing the most appropriate ones for market participation and portfolio optimization. To exemplify the methodological applicability of the developed algorithm, a case study based on an actual power system in eastern Spain is considered.en
dc.description.statusPeer reviewed
dc.format.extent16
dc.format.extent532068
dc.identifier.citationRuiz , N , Claessens , B , Jimeno , J , Lopez , J A & Six , D 2015 , ' Residential load forecasting under a demand response program based on economic incentives ' , unknown , vol. unknown , no. 8 , pp. 1436-1451 . https://doi.org/10.1002/etep.1905
dc.identifier.doi10.1002/etep.1905
dc.identifier.otherresearchoutputwizard: 11556/244
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84939492807&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofunknown
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsdemand response
dc.subject.keywordsaggregator
dc.subject.keywordsload forecasting
dc.subject.keywordsload management
dc.subject.keywordsload modelling
dc.subject.keywordsoptimal control
dc.subject.keywordsdemand response
dc.subject.keywordsaggregator
dc.subject.keywordsload forecasting
dc.subject.keywordsload management
dc.subject.keywordsload modelling
dc.subject.keywordsoptimal control
dc.subject.keywordsdemand responsel
dc.subject.keywordsModeling and Simulation
dc.subject.keywordsEnergy Engineering and Power Technology
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/207643/EU/Active Distribution networks with full integration of Demand and distributed energy RESourceS/ADDRESS
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/207643/EU/Active Distribution networks with full integration of Demand and distributed energy RESourceS/ADDRESS
dc.subject.keywordsFunding Info
dc.subject.keywordsEuropean Community's Seventh Framework Programme
dc.subject.keywordsEuropean Community's Seventh Framework Programme
dc.titleResidential load forecasting under a demand response program based on economic incentivesen
dc.typejournal article
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