IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i13p3976-d587778.html
   My bibliography  Save this article

Impact of Imbalance Pricing on Variable Renewable Energies with Different Prediction Accuracies: A Korean Case

Author

Listed:
  • Heeseung Moon

    (Electric Power Network Economics Laboratory, Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul 08826, Korea)

  • Dongsu Lee

    (Smart Energy Network Design Laboratory, Department of Electrical Engineering, Chungnam National University, 99 Daehak-ro, Daejeon 34134, Korea)

  • Jeongmin Han

    (Smart Energy Network Design Laboratory, Department of Electrical Engineering, Chungnam National University, 99 Daehak-ro, Daejeon 34134, Korea)

  • Yongtae Yoon

    (Electric Power Network Economics Laboratory, Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul 08826, Korea)

  • Seungwan Kim

    (Smart Energy Network Design Laboratory, Department of Electrical Engineering, Chungnam National University, 99 Daehak-ro, Daejeon 34134, Korea)

Abstract

Although the Korean government plans to increase its share of variable renewable energies (VREs), the Korean power market is not sufficiently mature to accommodate a large increase in VRE generation. Thus, the Korean system operator plans to introduce a two-settlement, and an imbalance settlement is also under consideration, among several options. Therefore, this study analyzes how many incentives are given for prediction accuracy under several imbalance settlement schemes adopted from European and US power markets. Results show that the imbalance settlement consisting of threshold and penalty terms is useful for rule-makers, who can control revenue differences between the groups with different prediction accuracies by adjusting the two terms. The suggestion given in the paper will be useful for not only the Korean power market but also for the countries that plan to establish the imbalance settlement rules while increasing renewable energy.

Suggested Citation

  • Heeseung Moon & Dongsu Lee & Jeongmin Han & Yongtae Yoon & Seungwan Kim, 2021. "Impact of Imbalance Pricing on Variable Renewable Energies with Different Prediction Accuracies: A Korean Case," Energies, MDPI, vol. 14(13), pages 1-19, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3976-:d:587778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/13/3976/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/13/3976/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gordon J. Alexander & Alexandre M. Baptista, 2004. "A Comparison of VaR and CVaR Constraints on Portfolio Selection with the Mean-Variance Model," Management Science, INFORMS, vol. 50(9), pages 1261-1273, September.
    2. Fatih Karanfil and Yuanjing Li, 2017. "The Role of Continuous Intraday Electricity Markets: The Integration of Large-Share Wind Power Generation in Denmark," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    3. Fatih Karanfil and Yuanjing Li, 2017. "The Role of Continuous Intraday Electricity Markets: The Integration of Large-Share Wind Power Generation in Denmark," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    4. De Vos, Kristof & Driesen, Johan & Belmans, Ronnie, 2011. "Assessment of imbalance settlement exemptions for offshore wind power generation in Belgium," Energy Policy, Elsevier, vol. 39(3), pages 1486-1494, March.
    5. Song, Yong Hyun & Kim, Hyun Joong & Kim, Seung Wan & Jin, Young Gyu & Yoon, Yong Tae, 2018. "How to find a reasonable energy transition strategy in Korea?: Quantitative analysis based on power market simulation," Energy Policy, Elsevier, vol. 119(C), pages 396-409.
    6. Ignacio Herrero, Pablo Rodilla, and Carlos Batlle, 2018. "Enhancing Intraday Price Signals in U.S. ISO Markets for a Better Integration of Variable Energy Resources," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    7. Jónsson, Tryggvi & Pinson, Pierre & Madsen, Henrik, 2010. "On the market impact of wind energy forecasts," Energy Economics, Elsevier, vol. 32(2), pages 313-320, March.
    8. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    9. Chaves-Ávila, J.P. & Hakvoort, R.A. & Ramos, A., 2014. "The impact of European balancing rules on wind power economics and on short-term bidding strategies," Energy Policy, Elsevier, vol. 68(C), pages 383-393.
    10. Wu, Zhaoyuan & Zhou, Ming & Zhang, Ting & Li, Gengyin & Zhang, Yan & Liu, Xiaojuan, 2020. "Imbalance settlement evaluation for China's balancing market design via an agent-based model with a multiple criteria decision analysis method," Energy Policy, Elsevier, vol. 139(C).
    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. Klyve, Øyvind Sommer & Klæboe, Gro & Nygård, Magnus Moe & Marstein, Erik Stensrud, 2023. "Limiting imbalance settlement costs from variable renewable energy sources in the Nordics: Internal balancing vs. balancing market participation," Applied Energy, Elsevier, vol. 350(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. Thomas Kuppelwieser & David Wozabal, 2023. "Intraday power trading: toward an arms race in weather forecasting?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 57-83, March.
    2. Micha{l} Narajewski & Florian Ziel, 2020. "Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories," Papers 2005.01365, arXiv.org, revised Aug 2020.
    3. Christopher Koch & Philipp Maskos, 2020. "Passive Balancing Through Intraday Trading: Whether Interactions Between Short-term Trading and Balancing Stabilize Germany s Electricity System," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 101-112.
    4. Russo, Marianna & Kraft, Emil & Bertsch, Valentin & Keles, Dogan, 2022. "Short-term risk management of electricity retailers under rising shares of decentralized solar generation," Energy Economics, Elsevier, vol. 109(C).
    5. Holmberg, Pär & Tangerås, Thomas & Ahlqvist, Victor, 2018. "Central- versus Self-Dispatch in Electricity Markets," Working Paper Series 1257, Research Institute of Industrial Economics, revised 27 Mar 2019.
    6. Olivier F'eron & Peter Tankov & Laura Tinsi, 2020. "Price formation and optimal trading in intraday electricity markets," Papers 2009.04786, arXiv.org, revised Jun 2021.
    7. Hohl, Cody & Lo Prete, Chiara & Radhakrishnan, Ashish & Webster, Mort, 2023. "Intraday markets, wind integration and uplift payments in a regional U.S. power system," Energy Policy, Elsevier, vol. 175(C).
    8. Narajewski, Michał & Ziel, Florian, 2020. "Ensemble forecasting for intraday electricity prices: Simulating trajectories," Applied Energy, Elsevier, vol. 279(C).
    9. Muñoz, Francisco D. & Suazo-Martínez, Carlos & Pereira, Eduardo & Moreno, Rodrigo, 2021. "Electricity market design for low-carbon and flexible systems: Room for improvement in Chile," Energy Policy, Elsevier, vol. 148(PB).
    10. Mastropietro, Paolo & Rodilla, Pablo & Rangel, Lina Escobar & Batlle, Carlos, 2020. "Reforming the colombian electricity market for an efficient integration of renewables: A proposal," Energy Policy, Elsevier, vol. 139(C).
    11. Martin de Lagarde, Cyril & Lantz, Frédéric, 2018. "How renewable production depresses electricity prices: Evidence from the German market," Energy Policy, Elsevier, vol. 117(C), pages 263-277.
    12. Knaut, Andreas & Paschmann, Martin, 2017. "Decoding Restricted Participation in Sequential Electricity Markets," EWI Working Papers 2017-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 31 Aug 2017.
    13. Juraj Čurpek, 2019. "Time Evolution of Hurst Exponent: Czech Wholesale Electricity Market Study," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2019(3), pages 25-44.
    14. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    15. Hu, Xiao & Jaraitė, Jūratė & Kažukauskas, Andrius, 2021. "The effects of wind power on electricity markets: A case study of the Swedish intraday market," Energy Economics, Elsevier, vol. 96(C).
    16. Wu, Zhaoyuan & Zhou, Ming & Li, Gengyin & Zhao, Tong & Zhang, Yan & Liu, Xiaojuan, 2020. "Interaction between balancing market design and market behaviour of wind power producers in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. Ioannis Boukas & Damien Ernst & Thibaut Th'eate & Adrien Bolland & Alexandre Huynen & Martin Buchwald & Christelle Wynants & Bertrand Corn'elusse, 2020. "A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding," Papers 2004.05940, arXiv.org.
    18. Spodniak, Petr & Ollikka, Kimmo & Honkapuro, Samuli, 2019. "The Relevance of Wholesale Electricity Market Places: The Nordic Case," Working Papers 126, VATT Institute for Economic Research.
    19. Sinan Deng & John Inekwe & Vladimir Smirnov & Andrew Wait & Chao Wang, 2023. "Machine Learning and Deep Learning Forecasts of Electricity Imbalance Prices," Working Papers 2023-03, University of Sydney, School of Economics.
    20. Cyril Martin de Lagarde & Frédéric Lantz, 2017. "Impact of Variable Renewable Production on Electriciy Prices in Germany : A Markov Switching Model," Working Papers hal-03187020, HAL.

    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:gam:jeners:v:14:y:2021:i:13:p:3976-:d:587778. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.