IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v39y2018i6p209-234.html
   My bibliography  Save this article

A Mechanism for Allocating Benefits and Costs from Transmission Interconnections under Cooperation: A Case Study of the North Sea Offshore Grid

Author

Listed:
  • Martin Kristiansen
  • Francisco D. Muñoz
  • Shmuel Oren
  • Magnus KorpÃ¥s

Abstract

We propose a generic mechanism for allocating the benefits and costs that result from the development of international transmission interconnections under a cooperative agreement. The mechanism is based on a planning model that considers generation investments as a response to transmission developments, and the Shapley Value from cooperative game theory. This method provides a unique allocation of benefits and costs considering each country’s average incremental contribution to the cooperative agreement. The allocation satisfies an axiomatic definition of fairness. We demonstrate our results for three planned transmission interconnections in the North Sea and show that the proposed mechanism can be used as a basis for defining a set of Power Purchase Agreements among countries.

Suggested Citation

  • Martin Kristiansen & Francisco D. Muñoz & Shmuel Oren & Magnus KorpÃ¥s, 2018. "A Mechanism for Allocating Benefits and Costs from Transmission Interconnections under Cooperation: A Case Study of the North Sea Offshore Grid," The Energy Journal, , vol. 39(6), pages 209-234, November.
  • Handle: RePEc:sae:enejou:v:39:y:2018:i:6:p:209-234
    DOI: 10.5547/01956574.39.6.mkri
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.39.6.mkri
    Download Restriction: no

    File URL: https://libkey.io/10.5547/01956574.39.6.mkri?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Francisco Munoz & Jean-Paul Watson, 2015. "A scalable solution framework for stochastic transmission and generation planning problems," Computational Management Science, Springer, vol. 12(4), pages 491-518, October.
    2. Anna Grigoryeva, Mohammad R. Hesamzadeh, and Thomas Tangerås, 2018. "Energy System Transition in the Nordic Market: Challenges for Transmission Regulation and Governance," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    3. Gorenstein Dedecca, João & Lumbreras, Sara & Ramos, Andrés & Hakvoort, Rudi A. & Herder, Paulien M., 2018. "Expansion planning of the North Sea offshore grid: Simulation of integrated governance constraints," Energy Economics, Elsevier, vol. 72(C), pages 376-392.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hassanzadeh Moghimi, Farzad & Boomsma, Trine K. & Siddiqui, Afzal S., 2024. "Transmission planning in an imperfectly competitive power sector with environmental externalities," Energy Economics, Elsevier, vol. 134(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    2. Tosatto, Andrea & Beseler, Xavier Martínez & Østergaard, Jacob & Pinson, Pierre & Chatzivasileiadis, Spyros, 2022. "North Sea Energy Islands: Impact on national markets and grids," Energy Policy, Elsevier, vol. 167(C).
    3. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    4. Seljom, Pernille & Kvalbein, Lisa & Hellemo, Lars & Kaut, Michal & Ortiz, Miguel Muñoz, 2021. "Stochastic modelling of variable renewables in long-term energy models: Dataset, scenario generation & quality of results," Energy, Elsevier, vol. 236(C).
    5. Flores-Quiroz, Angela & Strunz, Kai, 2021. "A distributed computing framework for multi-stage stochastic planning of renewable power systems with energy storage as flexibility option," Applied Energy, Elsevier, vol. 291(C).
    6. Bergen, Matías & Muñoz, Francisco D., 2018. "Quantifying the effects of uncertain climate and environmental policies on investments and carbon emissions: A case study of Chile," Energy Economics, Elsevier, vol. 75(C), pages 261-273.
    7. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
    8. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    9. Jan F. Wiegner & Madeleine Gibescu & Matteo Gazzani, 2024. "Unleashing the full potential of the North Sea -- Identifying key energy infrastructure synergies for 2030 and 2040," Papers 2411.00540, arXiv.org.
    10. Churkin, Andrey & Bialek, Janusz & Pozo, David & Sauma, Enzo & Korgin, Nikolay, 2021. "Review of Cooperative Game Theory applications in power system expansion planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Sini Han & Hyeon-Jin Kim & Duehee Lee, 2020. "A Long-Term Evaluation on Transmission Line Expansion Planning with Multistage Stochastic Programming," Energies, MDPI, vol. 13(8), pages 1-18, April.
    12. Wiegner, J.F. & Andreasson, L.M. & Kusters, J.E.H. & Nienhuis, R.M., 2024. "Interdisciplinary perspectives on offshore energy system integration in the North Sea: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    13. Qu, Chunzi & Bang, Rasmus Noss, 2024. "European Grid Development Modeling and Analysis: Established Frameworks, Research Trends, and Future Opportunities," Discussion Papers 2024/11, Norwegian School of Economics, Department of Business and Management Science.
    14. Zhouchun Huang & Qipeng P. Zheng & Andrew L. Liu, 2022. "A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1919-1939, July.
    15. Go, Roderick S. & Munoz, Francisco D. & Watson, Jean-Paul, 2016. "Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards," Applied Energy, Elsevier, vol. 183(C), pages 902-913.
    16. Gea-Bermúdez, Juan & Pade, Lise-Lotte & Koivisto, Matti Juhani & Ravn, Hans, 2020. "Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon," Energy, Elsevier, vol. 191(C).
    17. Glaum, Philipp & Neumann, Fabian & Brown, Tom, 2024. "Offshore power and hydrogen networks for Europe’s North Sea," Applied Energy, Elsevier, vol. 369(C).
    18. Qingtao Li & Jianxue Wang & Yao Zhang & Yue Fan & Guojun Bao & Xuebin Wang, 2020. "Multi-Period Generation Expansion Planning for Sustainable Power Systems to Maximize the Utilization of Renewable Energy Sources," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    19. Taheri, S. Saeid & Kazempour, Jalal & Seyedshenava, Seyedjalal, 2017. "Transmission expansion in an oligopoly considering generation investment equilibrium," Energy Economics, Elsevier, vol. 64(C), pages 55-62.
    20. Zhang, Mingming & Nie, Jinchen & Su, Bin & Liu, Liyun, 2024. "An option game model applicable to multi-agent cooperation investment in energy storage projects," Energy Economics, Elsevier, vol. 131(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:enejou:v:39:y:2018:i:6:p:209-234. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.