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The influence of distributed generation penetration levels on energy markets

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  • Vahl, Fabrício Peter
  • Rüther, Ricardo
  • Casarotto Filho, Nelson

Abstract

Planning of national energy policies brings new dilemmas with the introduction of distributed generators (DG). Economic theory suggests that a perfectly competitive market would lead to efficient pricing. In the absence of competition, regulators play a fundamental role in attracting reasonably priced finance in order to maintain, refurbish and increase the infrastructure and provide services at a reasonable cost. Energy market price equilibrium is mainly dependent on suppliers, generators, energy sources and demand, represented by conventional utility grid users. Its behavior is similar to that of other commodities. As generation becomes less centralized with the increasing economic viability of renewable energy sources, new suppliers are being connected to the grid. Such evolution means the transition from a monopolistic market to a broader and more open environment, with an increasing number of competitors. We make use of variational inequalities to model a hypothetical DG market in different scenarios, from monopoly, to oligopoly, to open market. Such an approach enables different equilibrium outcomes due to different DG penetration levels. Based on these findings, we argue that energy policies for such markets must be developed according to each specific stage of the grid's lifecycle. We show how energy policies and market regulations may affect such a transition, which may be catastrophic if not managed properly, and which is dependent on the energy mix.

Suggested Citation

  • Vahl, Fabrício Peter & Rüther, Ricardo & Casarotto Filho, Nelson, 2013. "The influence of distributed generation penetration levels on energy markets," Energy Policy, Elsevier, vol. 62(C), pages 226-235.
  • Handle: RePEc:eee:enepol:v:62:y:2013:i:c:p:226-235
    DOI: 10.1016/j.enpol.2013.06.108
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    Cited by:

    1. John Foster & Liam Wagner & Liam Byrnes, 2014. "A Review of Distributed Generation for Rural and Remote Area Electrification," Energy Economics and Management Group Working Papers 3-2014, School of Economics, University of Queensland, Australia.
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    3. Lacchini, Corrado & Rüther, Ricardo, 2015. "The influence of government strategies on the financial return of capital invested in PV systems located in different climatic zones in Brazil," Renewable Energy, Elsevier, vol. 83(C), pages 786-798.
    4. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
    5. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    6. André Luis da Silva Leite & Marcus Vinicius Andrade de Lima, 2023. "A GARCH Model to Understand the Volatility of the Electricity Spot Price in Brazil," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 332-338, September.
    7. Maen Z. Kreishan & George P. Fotis & Vasiliki Vita & Lambros Ekonomou, 2016. "Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method," Energies, MDPI, vol. 9(11), pages 1-24, November.
    8. Thomas Sachs & Anna Gründler & Milos Rusic & Gilbert Fridgen, 2019. "Framing Microgrid Design from a Business and Information Systems Engineering Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 729-744, December.

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