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Continuous power imbalance assessment from multi-area economic dispatch models

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  • Nordström, Henrik
  • Söder, Lennart
  • Eriksson, Robert

Abstract

To be able to efficiently maintain a continuous balance between supply and demand in power systems with high shares of variable renewable energy (VRE) sources, a variety of studies related to the topic are needed. A fundamental input parameter for such studies is an assessment of the power system’s physical needs for balancing power, in form of power imbalances. This article presents a new model for simulating physical power imbalances with a 1-minute time resolution based on multi-area economic dispatch simulations. Compared to existing models with the same purpose, the new model includes the combination of simulating power imbalances with 1-minute time resolution, simulating forecast uncertainty, simulating the continuous behaviour of all power system components and simulating the transmission for netting of power imbalances between balancing areas. By applying the model to a case study of the Nordic synchronous power system in year 2045, the impact of including these features in the model is highlighted. Case study results also show that the size and pattern of power imbalances much depends on the characteristics of a balancing area, in terms of electricity demand, available generation technologies and interconnections to other balancing areas.

Suggested Citation

  • Nordström, Henrik & Söder, Lennart & Eriksson, Robert, 2024. "Continuous power imbalance assessment from multi-area economic dispatch models," Renewable Energy, Elsevier, vol. 225(C).
  • Handle: RePEc:eee:renene:v:225:y:2024:i:c:s0960148124003422
    DOI: 10.1016/j.renene.2024.120277
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    References listed on IDEAS

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    1. 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.
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    3. Hirth, Lion & Ziegenhagen, Inka, 2015. "Balancing power and variable renewables: Three links," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1035-1051.
    4. Matti Koivisto & Kaushik Das & Feng Guo & Poul Sørensen & Edgar Nuño & Nicolaos Cutululis & Petr Maule, 2019. "Using time series simulation tools for assessing the effects of variable renewable energy generation on power and energy systems," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
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