A Novel Direct Load Control Testbed for Smart Appliances

Joaquín Garrido-Zafra, Antonio Moreno-Munoz, Aurora Gil- de-Castro, Emilio J. Palacios-Garcia, Carlos D. Moreno-Moreno and Tomás Morales-Leal
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Joaquín Garrido-Zafra: Electronics and Computer Engineering Department, University of Córdoba, Córdoba 14071, Spain
Antonio Moreno-Munoz: Electronics and Computer Engineering Department, University of Córdoba, Córdoba 14071, Spain
Aurora Gil- de-Castro: Electronics and Computer Engineering Department, University of Córdoba, Córdoba 14071, Spain
Emilio J. Palacios-Garcia: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Carlos D. Moreno-Moreno: Electronics and Computer Engineering Department, University of Córdoba, Córdoba 14071, Spain
Tomás Morales-Leal: Electrical Engineering Department, University of Córdoba, Córdoba 14071, Spain

Energies, 2019, vol. 12, issue 17, 1-16

Abstract: The effort to continuously improve and innovate smart appliances (SA) energy management requires an experimental research and development environment which integrates widely differing tools and resources seamlessly. To this end, this paper proposes a novel Direct Load Control (DLC) testbed, aiming to conveniently support the research community, as well as analyzing and comparing their designs in a laboratory environment. Based on the LabVIEW computing platform, this original testbed enables access to knowledge of major components such as online weather forecasting information, distributed energy resources (e.g., energy storage, solar photovoltaic), dynamic electricity tariff from utilities and demand response (DR) providers together with different mathematical optimization features given by General Algebraic Modelling System (GAMS). This intercommunication is possible thanks to the different applications programming interfaces (API) incorporated into the system and to intermediate agents specially developed for this case. Different basic case studies have been presented to envision the possibilities of this system in the future and more complex scenarios, to actively support the DLC strategies. These measures will offer enough flexibility to minimize the impact on user comfort combined with support for multiple DR programs. Thus, given the successful results, this platform can lead to a solution towards more efficient use of energy in the residential environment.

Keywords: demand response; direct load control; home energy management system; mixed-integer linear programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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