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Bilateral Contracting and Price-Based Demand Response in Multi-Agent Electricity Markets: A Study on Time-of-Use Tariffs

Author

Listed:
  • Hugo Algarvio

    (LNEG–National Laboratory of Energy and Geology, Est. Paço Lumiar 22, 1649-038 Lisbon, Portugal)

  • Fernando Lopes

    (LNEG–National Laboratory of Energy and Geology, Est. Paço Lumiar 22, 1649-038 Lisbon, Portugal)

Abstract

Electrical energy can be traded in liberalized organized markets or by negotiating private bilateral contracts. Competitive markets are central systems where market players can purchase and sell electrical energy. Bilateral contracting consists typically in a private negotiation of power over several months or years between two parties. Price-based demand response considers the active participation of consumers in electricity markets. Consumers adopt demand response programs when responding to market prices or tariffs, as they change over time. Those tariffs can be proposed by retailers by considering their load shape goals, influencing consumers to change their behavior. Consumers may adopt strategies from two different groups, namely by curtailing energy at times of high prices (e.g., peak and intermediate periods) and rescheduling energy away from those times to other times (shifting). This article considers bilateral contracting in electricity markets with demand response. It investigates how curtailment and shifting affect the energy quantity and energy cost of consumers that adopt a time-of-use tariff involving three block periods (i.e., base, intermediate and peak periods). The results indicate that consumers respond to changes in energy price according to their consumption flexibility, while retailers do not always change energy price in response to consumers’ efforts to change their consumption patterns. On average, by considering a 5% consumption reduction in the intermediate and peak periods by a consumer agent, a retailer agent reduces the energy price only by 1.5%.

Suggested Citation

  • Hugo Algarvio & Fernando Lopes, 2023. "Bilateral Contracting and Price-Based Demand Response in Multi-Agent Electricity Markets: A Study on Time-of-Use Tariffs," Energies, MDPI, vol. 16(2), pages 1-17, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:645-:d:1025876
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    References listed on IDEAS

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    1. Hugo Algarvio & Fernando Lopes & António Couto & Ana Estanqueiro & João Santana, 2019. "Variable Renewable Energy and Market Design: New Products and a Real-World Study," Energies, MDPI, vol. 12(23), pages 1-17, November.
    2. Valenzuela, Jorge & Thimmapuram, Prakash R. & Kim, Jinho, 2012. "Modeling and simulation of consumer response to dynamic pricing with enabled technologies," Applied Energy, Elsevier, vol. 96(C), pages 122-132.
    3. Hugo Algarvio & Fernando Lopes & António Couto & João Santana & Ana Estanqueiro, 2019. "Effects of regulating the European Internal Market on the integration of variable renewable energy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(6), November.
    4. Bernath, Christiane & Deac, Gerda & Sensfuß, Frank, 2021. "Impact of sector coupling on the market value of renewable energies – A model-based scenario analysis," Applied Energy, Elsevier, vol. 281(C).
    5. Arteconi, Alessia & Ciarrocchi, Eleonora & Pan, Quanwen & Carducci, Francesco & Comodi, Gabriele & Polonara, Fabio & Wang, Ruzhu, 2017. "Thermal energy storage coupled with PV panels for demand side management of industrial building cooling loads," Applied Energy, Elsevier, vol. 185(P2), pages 1984-1993.
    6. Warren, Peter, 2014. "A review of demand-side management policy in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 941-951.
    7. Keane, A. & Tuohy, A. & Meibom, P. & Denny, E. & Flynn, D. & Mullane, A. & O'Malley, M., 2011. "Demand side resource operation on the Irish power system with high wind power penetration," Energy Policy, Elsevier, vol. 39(5), pages 2925-2934, May.
    8. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2017. "User satisfaction-induced demand side load management in residential buildings with user budget constraint," Applied Energy, Elsevier, vol. 187(C), pages 352-366.
    9. Jiang, Bo & Muzhikyan, Aramazd & Farid, Amro M. & Youcef-Toumi, Kamal, 2017. "Demand side management in power grid enterprise control: A comparison of industrial & social welfare approaches," Applied Energy, Elsevier, vol. 187(C), pages 833-846.
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