IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v103y2021ics0140988321004710.html
   My bibliography  Save this article

Analysis of fixed volume swaps for hedging financial risk at large-scale wind projects

Author

Listed:
  • Lucy, Zachary
  • Kern, Jordan

Abstract

Large scale wind power projects are increasingly selling power directly into wholesale electricity markets without the benefits of stable (fixed price) off-take agreements. As a result, many wind power producers seek financial hedging contracts to mitigate exposure to price risk. One particular hedging contract - the “fixed volume price swap” - has gained widespread use, but it poses several liabilities for wind power producers that reduce its effectiveness. In this paper, we examine problems associated with fixed volume swaps and explore possibilities for improving their performance. Using a hypothetical wind power project in the Southwest Power Pool (SPP) market as a case study, we first look at how “shape risk” (an imbalance between actual wind power production and hourly production targets specified by contract terms) negatively impacts contract performance and whether this could be remedied through improved contract design. Using a multi-objective optimization algorithm, we find examples of alternative contract parameters (hourly wind power production targets) that are more effective at increasing revenues during low performing months and do so at a lower cost than conventional fixed volume swaps. Then we examine how “basis risk” (a discrepancy in market prices between the “node” where the wind project injects power into the grid, and the regional hub price) can negatively impact contract performance. Overall, our results suggest that wind power producers would be better served hedging substantially lower volumes of wind power production, and in certain months should not be hedging at all. Another key finding is that contract performance improves with modest reductions in basis risk. This indicates that eliminating transmission congestion issues across the grid may not be necessary to improve contract performance.

Suggested Citation

  • Lucy, Zachary & Kern, Jordan, 2021. "Analysis of fixed volume swaps for hedging financial risk at large-scale wind projects," Energy Economics, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004710
    DOI: 10.1016/j.eneco.2021.105603
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988321004710
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2021.105603?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dahlke, Steve, 2018. "Effects of wholesale electricity markets on wind generation in the midwestern United States," Energy Policy, Elsevier, vol. 122(C), pages 358-368.
    2. Zhang, Jingrui & Zhu, Xiaoqing & Chen, Tengpeng & Yu, Yanlin & Xue, Wendong, 2020. "Improved MOEA/D approach to many-objective day-ahead scheduling with consideration of adjustable outputs of renewable units and load reduction in active distribution networks," Energy, Elsevier, vol. 210(C).
    3. Fernandes, Gláucia & Gomes, Leonardo & Vasconcelos, Gabriel & Brandão, Luiz, 2016. "Mitigating wind exposure with zero-cost collar insurance," Renewable Energy, Elsevier, vol. 99(C), pages 336-346.
    4. Guglielmo D’Amico & Fulvio Gismondi & Filippo Petroni, 2020. "Insurance Contracts for Hedging Wind Power Uncertainty," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    5. Nimmagadda, Sandeep & Islam, Atiqul & Bayne, Stephen B. & Walker, R.P. & Garcia Caballero, Lourdes & Fisas Camanes, Albert, 2014. "A study of recent changes in Southwest Power Pool and Electric Reliability Council of Texas and its impact on the U.S. wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 350-361.
    6. Anca Pircalabu & Jesper Jung, 2017. "A mixed C-vine copula model for hedging price and volumetric risk in wind power trading," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1583-1600, October.
    7. Shin, Hunyoung & Baldick, Ross, 2018. "Mitigating market risk for wind power providers via financial risk exchange," Energy Economics, Elsevier, vol. 71(C), pages 344-358.
    8. Daraeepour, Ali & Patino-Echeverri, Dalia & Conejo, Antonio J., 2019. "Economic and environmental implications of different approaches to hedge against wind production uncertainty in two-settlement electricity markets: A PJM case study," Energy Economics, Elsevier, vol. 80(C), pages 336-354.
    9. McElroy, Michael B. & Chen, Xinyu & Deng, Yawen, 2018. "The missing money problem: Incorporation of increased resources from wind in a representative US power market," Renewable Energy, Elsevier, vol. 126(C), pages 126-136.
    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. Thakur, Jagruti & Hesamzadeh, Mohammad Reza & Date, Paresh & Bunn, Derek, 2023. "Pricing and hedging wind power prediction risk with binary option contracts," Energy Economics, Elsevier, vol. 126(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. Deng, Xu & Lv, Tao & Meng, Xiangyun & Li, Cong & Hou, Xiaoran & Xu, Jie & Wang, Yinhao & Liu, Feng, 2024. "Assessing the carbon emission reduction effect of flexibility option for integrating variable renewable energy," Energy Economics, Elsevier, vol. 132(C).
    2. Sugimoto, Kota, 2019. "Does transmission unbundling increase wind power generation in the United States?," Energy Policy, Elsevier, vol. 125(C), pages 307-316.
    3. Cláudio Albuquerque Frate & Christian Brannstrom, 2019. "How Do Stakeholders Perceive Barriers to Large-Scale Wind Power Diffusion? A Q-Method Case Study from Ceará State, Brazil," Energies, MDPI, vol. 12(11), pages 1-14, May.
    4. He, Yi & Guo, Su & Zhou, Jianxu & Wu, Feng & Huang, Jing & Pei, Huanjin, 2021. "The many-objective optimal design of renewable energy cogeneration system," Energy, Elsevier, vol. 234(C).
    5. Don Fullerton & Chi L. Ta, 2022. "What Determines Effectiveness of Renewable Energy Standards? General Equilibrium Analytical Model and Empirical Analysis," CESifo Working Paper Series 9565, CESifo.
    6. Zhongwei Feng & Chunqiao Tan & Jinchun Zhang & Qiang Zeng, 2021. "Bargaining Game with Altruistic and Spiteful Preferences," Group Decision and Negotiation, Springer, vol. 30(2), pages 277-300, April.
    7. Yu-Chung Tsao & Thuy-Linh Vu, 2023. "Electricity pricing, capacity, and predictive maintenance considering reliability," Annals of Operations Research, Springer, vol. 322(2), pages 991-1011, March.
    8. Tranberg, Bo & Hansen, Rasmus Thrane & Catania, Leopoldo, 2020. "Managing volumetric risk of long-term power purchase agreements," Energy Economics, Elsevier, vol. 85(C).
    9. Zhang, Yin & Qian, Tong & Tang, Wenhu, 2022. "Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration," Energy, Elsevier, vol. 244(PB).
    10. 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).
    11. Anna Schwele & Christos Ordoudis & Pierre Pinson & Jalal Kazempour, 2021. "Coordination of power and natural gas markets via financial instruments," Computational Management Science, Springer, vol. 18(4), pages 505-538, October.
    12. Fred Espen Benth & Anca Pircalabu, 2018. "A non-Gaussian Ornstein–Uhlenbeck model for pricing wind power futures," Applied Mathematical Finance, Taylor & Francis Journals, vol. 25(1), pages 36-65, January.
    13. Ajanaku, Bolarinwa A. & Collins, Alan R., 2024. "“Comparing merit order effects of wind penetration across wholesale electricity markets”," Renewable Energy, Elsevier, vol. 226(C).
    14. Li, Mingquan & Gao, Huiwen & Abdulla, Ahmed & Shan, Rui & Gao, Shuo, 2022. "Combined effects of carbon pricing and power market reform on CO2 emissions reduction in China's electricity sector," Energy, Elsevier, vol. 257(C).
    15. Sharma, Abhishek & Jain, Sachin Kumar, 2022. "A novel seasonal segmentation approach for day-ahead load forecasting," Energy, Elsevier, vol. 257(C).
    16. Cheng, Shulei & Wu, Yinyin & Chen, Hua & Chen, Jiandong & Song, Malin & Hou, Wenxuan, 2019. "Determinants of changes in electricity generation intensity among different power sectors," Energy Policy, Elsevier, vol. 130(C), pages 389-408.
    17. Roozbeh Qorbanian & Nils Lohndorf & David Wozabal, 2024. "Valuation of Power Purchase Agreements for Corporate Renewable Energy Procurement," Papers 2403.08846, arXiv.org.
    18. Fugui Dong & Xiaohui Ding & Lei Shi, 2019. "Wind Power Pricing Game Strategy under the China’s Market Trading Mechanism," Energies, MDPI, vol. 12(18), pages 1-17, September.
    19. Gensler, André & Sick, Bernhard & Vogt, Stephan, 2018. "A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 352-379.
    20. Zhou, Wei & Chen, Yan & Chen, Jin, 2022. "Risk spread in multiple energy markets: Extreme volatility spillover network analysis before and during the COVID-19 pandemic," Energy, Elsevier, vol. 256(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:eee:eneeco:v:103:y:2021:i:c:s0140988321004710. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.