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Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour

Author

Listed:
  • Mohamed Hadri

    (EDF Energy R&D, Croydon, London CR0 2AJ, UK)

  • Vincenzo Trovato

    (Electrical and Electronic Engineering, South Kensington Campus, Imperial College London, London SW7 2AZ, UK)

  • Agnes Bialecki

    (EDF Energy R&D, Croydon, London CR0 2AJ, UK)

  • Bruno Merk

    (School of Engineering, University of Liverpool, Liverpool L69 3GH, UK)

  • Aiden Peakman

    (School of Engineering, University of Liverpool, Liverpool L69 3GH, UK
    National Nuclear Laboratory, Chadwick House, Warrington WA3 6AE, UK)

Abstract

Renewable integration into the electricity system of Great Britain (GB) is causing considerable demand for additional flexibility from plants. In particular, a considerable share of this flexibility may be dispatched to secure post-fault transient frequency dynamics. Pursuant to the unprecedented changes to the traditional portfolio of generation sources, this work presents a detailed analysis of the potential system-level value of unlocking flexibility from nuclear electricity production. A rigorous enhanced mixed integer linear programming (MILP) unit commitment formulation is adopted to simulate several generation-demand scenarios where different layers of flexibility are associated to the operation of nuclear power plants. Moreover, the proposed optimisation model is able to assess the benefit of the large contribution to the system inertial response provided by nuclear power plants. This is made possible by considering a set of linearised inertia-dependent and multi-speed constraints on post fault frequency dynamics. Several case studies are introduced considering 2050 GB low-carbon scenarios. The value of operating the nuclear fleet under more flexible paradigms is assessed, including environmental considerations quantified in terms of system-level CO 2 emissions’ reduction.

Suggested Citation

  • Mohamed Hadri & Vincenzo Trovato & Agnes Bialecki & Bruno Merk & Aiden Peakman, 2021. "Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour," Energies, MDPI, vol. 14(6), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1780-:d:522772
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    References listed on IDEAS

    as
    1. Aiden Peakman & Robert Gregg, 2020. "The Fuel Cycle Implications of Nuclear Process Heat," Energies, MDPI, vol. 13(22), pages 1-19, November.
    2. Li, Pengfei & Hu, Weihao & Hu, Rui & Huang, Qi & Yao, Jun & Chen, Zhe, 2019. "Strategy for wind power plant contribution to frequency control under variable wind speed," Renewable Energy, Elsevier, vol. 130(C), pages 1226-1236.
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    8. Aiden Peakman & Bruno Merk & Kevin Hesketh, 2020. "The Potential of Pressurised Water Reactors to Provide Flexible Response in Future Electricity Grids," Energies, MDPI, vol. 13(4), pages 1-16, February.
    9. Johnson, Samuel C. & Rhodes, Joshua D. & Webber, Michael E., 2020. "Understanding the impact of non-synchronous wind and solar generation on grid stability and identifying mitigation pathways," Applied Energy, Elsevier, vol. 262(C).
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    Cited by:

    1. Lynch, Arthur & Perez, Yannick & Gabriel, Sophie & Mathonniere, Gilles, 2022. "Nuclear fleet flexibility: Modeling and impacts on power systems with renewable energy," Applied Energy, Elsevier, vol. 314(C).
    2. Klaus Rheinberger & Peter Kepplinger & Markus Preißinger, 2021. "Flexibility Control in Autonomous Demand Response by Optimal Power Tracking," Energies, MDPI, vol. 14(12), pages 1-14, June.

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