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Open Source Modelling and Simulation of the Nordic Hydro Power System

Author

Listed:
  • Iasonas Kouveliotis-Lysikatos

    (School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Angelica Waernlund

    (School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Manuel Marin

    (School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Mikael Amelin

    (School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Lennart Söder

    (School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, 100 44 Stockholm, Sweden)

Abstract

In this paper, we present the results from the development and the simulation of a hydro power model for Sweden and Norway, using SpineOpt software and openly available data. We employ (i) hydrological and market data from the Nordic region and (ii) the abstract representation of the multi-vector modelling and simulation engine SpineOpt, to compile an open-source model of a large portion of the hydro power plants of the Nordic region, for conducting realistic hydro power generation studies. We place the hydro power system operation within the structuring of the Nordic electricity market and study the effect that different objectives have on the operational results. By employing the SpineOpt functionalities for automating the transformation of the temporal resolution of the model, we explore the trade-of between its computational burden and accuracy.

Suggested Citation

  • Iasonas Kouveliotis-Lysikatos & Angelica Waernlund & Manuel Marin & Mikael Amelin & Lennart Söder, 2021. "Open Source Modelling and Simulation of the Nordic Hydro Power System," Energies, MDPI, vol. 14(5), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1425-:d:511133
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    References listed on IDEAS

    as
    1. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian & Wu, Xin-yu, 2017. "Optimization of hydropower system operation by uniform dynamic programming for dimensionality reduction," Energy, Elsevier, vol. 134(C), pages 718-730.
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    Cited by:

    1. Gianfranco Chicco & Andrea Mazza & Salvatore Musumeci & Enrico Pons & Angela Russo, 2022. "Editorial for the Special Issue “Verifying the Targets—Selected Papers from the 55th International Universities Power Engineering Conference (UPEC 2020)”," Energies, MDPI, vol. 15(15), pages 1-8, August.

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