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Smart grid, load management and dynamic pricing for electricity: Simulation results from a field project in Switzerland

Author

Listed:
  • Barbara Antonioli Mantegazzini

    (Universita della Svizzera Italiana, Switzerland)

  • Alessandro Giusti

    (Istituto dalle Molle di Studi sull’Intelligenza Artificiale, Switzerland)

Abstract

The electricity sector is in transition towards a market where the roles of the operators and institutional actors are changing. The rise in production from renewable energy sources is determining a move from a centrally, fossil-fuel generation to a local distributed one with, among the other things, implications in terms of volatility, intermittency and reserve ‘backup’ capacity. This renewed and challenging scenario represents the basis for the Swiss2Grid pilot project. Its main objective is the development of an innovative approach for the grid load management based on the adoption of an active algorithm (Household Appliance Controller (HAC)) located on individual homes – then decentralized – governed by simple network rules. The goal is to reduce the level of complexity of the system, flattering at the same time the peak load curve. This load optimization is intended also having positive effects in terms of consumers’ bills expenditure. The amount of potential costs reduction of selected consumers, associated with a load shifting by HAC, has been estimated for several price scenario hypothesis, sketched in order to find the price scheme that better fits to the new consumption’s profile. In detail, we tested time constant rates as well as time variable ones, from flat rates to real prices. This project has indeed given us the opportunity to investigate about the use – and the actual advantages – of real-time prices for electricity combined with enabling technologies and on the new roles of utilities and Distribution System Operators (DSOs).

Suggested Citation

  • Barbara Antonioli Mantegazzini & Alessandro Giusti, 2018. "Smart grid, load management and dynamic pricing for electricity: Simulation results from a field project in Switzerland," Competition and Regulation in Network Industries, , vol. 19(3-4), pages 200-217, September.
    • Handle: RePEc:sae:crnind:v:19:y:2018:i:3-4:p:200-217
    DOI: 10.1177/1783591719836629
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    References listed on IDEAS

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    1. Jack Hirshleifer, 1958. "Peak Loads and Efficient Pricing: Comment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 72(3), pages 451-462.
    2. Arteconi, Alessia & Patteeuw, Dieter & Bruninx, Kenneth & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2016. "Active demand response with electric heating systems: Impact of market penetration," Applied Energy, Elsevier, vol. 177(C), pages 636-648.
    3. Newbery, David & Pollitt, Michael G. & Ritz, Robert A. & Strielkowski, Wadim, 2018. "Market design for a high-renewables European electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 695-707.
    4. He, Xian & Keyaerts, Nico & Azevedo, Isabel & Meeus, Leonardo & Hancher, Leigh & Glachant, Jean-Michel, 2013. "How to engage consumers in demand response: A contract perspective," Utilities Policy, Elsevier, vol. 27(C), pages 108-122.
    5. Severin Borenstein, 2005. "The Long-Run Efficiency of Real-Time Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-116.
    6. Paul L. Joskow & Catherine D. Wolfram, 2012. "Dynamic Pricing of Electricity," American Economic Review, American Economic Association, vol. 102(3), pages 381-385, May.
    7. Pol Olivella-Rosell & Pau Lloret-Gallego & Íngrid Munné-Collado & Roberto Villafafila-Robles & Andreas Sumper & Stig Ødegaard Ottessen & Jayaprakash Rajasekharan & Bernt A. Bremdal, 2018. "Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level," Energies, MDPI, vol. 11(4), pages 1-19, April.
    8. Römer, Benedikt & Reichhart, Philipp & Kranz, Johann & Picot, Arnold, 2012. "The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities," Energy Policy, Elsevier, vol. 50(C), pages 486-495.
    9. Goutam Dutta & Krishnendranath Mitra, 2017. "A literature review on dynamic pricing of electricity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1131-1145, October.
    10. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
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    Cited by:

    1. Barbara Antonioli Mantegazzini & C?dric Clastres & Laura Wangen, 2022. "Energy communities in Europe: An overview of issues and regulatory and economic solutions," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2022(2), pages 5-23.
    2. Barbara Antonioli Mantegazzini, 2019. "Business model and market design for local digitalized electricity trading: Several insights from the NEMoGrid project," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(2), pages 5-24.

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