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Inclusion of frequency control constraints in energy system investment modeling

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  • Ullmark, Jonathan
  • Göransson, Lisa
  • Chen, Peiyuan
  • Bongiorno, Massimo
  • Johnsson, Filip

Abstract

This study investigates how the inclusion of frequency control constraints in electricity system modeling impacts the levels of investment and dispatch in electricity generation and storage technologies for futures that include high-level penetration of variable renewable energy. This is achieved using a linear cost-minimizing investment and dispatch model using historic load, wind and solar conditions from Spain, Ireland, Sweden and Hungary for Year 2050. With an hourly time-resolution, constraints are added so as to ensure that, within each hour, sufficient inertial power and reserves are available to control the frequency of the power grid. Comparing the results obtained with and without these constraints reveals that the main impacts on the results are from battery investments and operation. Furthermore, it is found that the reserve requirements exert a greater impact on system composition and operation than do the inertial power requirements.

Suggested Citation

  • Ullmark, Jonathan & Göransson, Lisa & Chen, Peiyuan & Bongiorno, Massimo & Johnsson, Filip, 2021. "Inclusion of frequency control constraints in energy system investment modeling," Renewable Energy, Elsevier, vol. 173(C), pages 249-262.
  • Handle: RePEc:eee:renene:v:173:y:2021:i:c:p:249-262
    DOI: 10.1016/j.renene.2021.03.114
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    References listed on IDEAS

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    1. Christoph Weber, 2005. "Uncertainty in the Electric Power Industry," International Series in Operations Research and Management Science, Springer, number 978-0-387-23048-1, April.
    2. Odenberger, M. & Unger, T. & Johnsson, F., 2009. "Pathways for the North European electricity supply," Energy Policy, Elsevier, vol. 37(5), pages 1660-1677, May.
    3. Heuberger, Clara F. & Rubin, Edward S. & Staffell, Iain & Shah, Nilay & Mac Dowell, Niall, 2017. "Power capacity expansion planning considering endogenous technology cost learning," Applied Energy, Elsevier, vol. 204(C), pages 831-845.
    4. Johnson, Samuel C. & Papageorgiou, Dimitri J. & Mallapragada, Dharik S. & Deetjen, Thomas A. & Rhodes, Joshua D. & Webber, Michael E., 2019. "Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy," Energy, Elsevier, vol. 180(C), pages 258-271.
    5. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    6. Henning Thiesen & Clemens Jauch & Arne Gloe, 2016. "Design of a System Substituting Today’s Inherent Inertia in the European Continental Synchronous Area," Energies, MDPI, vol. 9(8), pages 1-12, July.
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    Cited by:

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    3. Lisa Göransson, 2023. "Balancing Electricity Supply and Demand in a Carbon-Neutral Northern Europe," Energies, MDPI, vol. 16(8), pages 1-27, April.
    4. Rehman, Obaid Ur & Khan, Shahid A. & Javaid, Nadeem, 2021. "Decoupled building-to-transmission-network for frequency support in PV systems dominated grid," Renewable Energy, Elsevier, vol. 178(C), pages 930-945.
    5. Wang, Qunwei & Fan, Zining, 2023. "Green finance and investment behavior of renewable energy enterprises: A case study of China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. Öberg, Simon & Odenberger, Mikael & Johnsson, Filip, 2022. "The cost dynamics of hydrogen supply in future energy systems – A techno-economic study," Applied Energy, Elsevier, vol. 328(C).

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