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Consumers’ sensitivities and preferences modelling and integration in a decentralised two levels energy supervisor

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  • Durillon, Benoit
  • Salomez, Florentin
  • Davigny, Arnaud
  • Kazmierczak, Sabine
  • Barry, Hervé
  • Saudemont, Christophe
  • Robyns, Benoît

Abstract

To address the new challenges arising from the higher penetration of renewable energy in electrical grid, Demand Response (DR) aims to involve the residential consumers in the grid equilibrium. Ensuring benefits for both utility and users requires the consumers sensitivities to be understood and then included in the Energy Management System (EMS). For this purpose, the cost is the predominant and most often only factor taken into account in the literature, although in the residential sector other concerns influencing electricity consumption behaviour have been observed. This paper presents a two levels EMS applied to a neighbourhood of consumers mathematically modelled at the level of their appliances and incorporating 5 consumers profiles along three sensitivities: cost, environment and appliances shifting comfort. The first level is a day ahead supervision based on a multi-agent optimisation lead by a central aggregator but performed locally by the household using Dynamic Programming (DP), thus ensuring privacy protection for the stakeholders. The second level is a real time supervision using the same decentralised structure and based on fuzzy logic. Both levels are evaluated in this paper, with a focus on the balance between grid and consumers objectives.

Suggested Citation

  • Durillon, Benoit & Salomez, Florentin & Davigny, Arnaud & Kazmierczak, Sabine & Barry, Hervé & Saudemont, Christophe & Robyns, Benoît, 2021. "Consumers’ sensitivities and preferences modelling and integration in a decentralised two levels energy supervisor," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 142-157.
    • Handle: RePEc:eee:matcom:v:183:y:2021:i:c:p:142-157
    DOI: 10.1016/j.matcom.2020.02.003
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    References listed on IDEAS

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    1. Gangale, Flavia & Mengolini, Anna & Onyeji, Ijeoma, 2013. "Consumer engagement: An insight from smart grid projects in Europe," Energy Policy, Elsevier, vol. 60(C), pages 621-628.
    2. Elma, Onur & Taşcıkaraoğlu, Akın & Tahir İnce, A. & Selamoğulları, Uğur S., 2017. "Implementation of a dynamic energy management system using real time pricing and local renewable energy generation forecasts," Energy, Elsevier, vol. 134(C), pages 206-220.
    3. Eissa, M.M., 2018. "First time real time incentive demand response program in smart grid with “i-Energy” management system with different resources," Applied Energy, Elsevier, vol. 212(C), pages 607-621.
    4. Vassileva, Iana & Wallin, Fredrik & Dahlquist, Erik, 2012. "Understanding energy consumption behavior for future demand response strategy development," Energy, Elsevier, vol. 46(1), pages 94-100.
    5. Goodman, John C, 1980. "Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games," Econometrica, Econometric Society, vol. 48(1), pages 251-251, January.
    6. Geelen, Daphne & Reinders, Angèle & Keyson, David, 2013. "Empowering the end-user in smart grids: Recommendations for the design of products and services," Energy Policy, Elsevier, vol. 61(C), pages 151-161.
    7. McKenna, Eoghan & Thomson, Murray, 2016. "High-resolution stochastic integrated thermal–electrical domestic demand model," Applied Energy, Elsevier, vol. 165(C), pages 445-461.
    8. Grandjean, A. & Adnot, J. & Binet, G., 2012. "A review and an analysis of the residential electric load curve models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6539-6565.
    Full references (including those not matched with items on IDEAS)

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