IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v84y2023ics0957178723001662.html
   My bibliography  Save this article

Marginal vs. average effective load carrying capability: How should capacity markets deal with alternative generation forms?

Author

Listed:
  • Aagaard, Todd
  • Kleit, Andrew N.

Abstract

Measuring the contribution of variable and supply-limited generation resources to grid reliability is becoming increasingly relevant as such resources expand their role in the electricity grid. Effective Load Carrying Capability (ELCC) has arisen as an approach to address these challenges. ELCC measures a resource's contribution to reliability based on the load that can be satisfied by adding the resource to the grid. ELCC advances resource accreditation by better reflecting the realities of how supply alternatives contribute to system reliability. It is not, however, a panacea. Implementing an ELCC approach requires challenging judgment calls that, because of the financial consequences for supply resources, are sure to generate controversy. The two primary methods for implementing ELCC, marginal and average, cause market inefficiencies. We compare the two methods using an economic model. The results of our model suggest that, although both methods result in inefficiencies under assumptions consistent with existing market conditions, the inefficiencies under a marginal approach are smaller than the inefficiencies under an average approach. Fortunately, there appear to be ways of addressing the adverse consequences of each method.

Suggested Citation

  • Aagaard, Todd & Kleit, Andrew N., 2023. "Marginal vs. average effective load carrying capability: How should capacity markets deal with alternative generation forms?," Utilities Policy, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:juipol:v:84:y:2023:i:c:s0957178723001662
    DOI: 10.1016/j.jup.2023.101654
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957178723001662
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jup.2023.101654?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. Aagaard,Todd S. & Kleit,Andrew N., 2022. "Electricity Capacity Markets," Cambridge Books, Cambridge University Press, number 9781108747424, October.
    2. Wen, Lei & Song, Qianqian, 2023. "ELCC-based capacity value estimation of combined wind - storage system using IPSO algorithm," Energy, Elsevier, vol. 263(PB).
    3. Aagaard,Todd S. & Kleit,Andrew N., 2022. "Electricity Capacity Markets," Cambridge Books, Cambridge University Press, number 9781108489652, October.
    Full references (including those not matched with items on IDEAS)

    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. Keppler, Jan Horst & Quemin, Simon & Saguan, Marcelo, 2022. "Why the sustainable provision of low-carbon electricity needs hybrid markets," Energy Policy, Elsevier, vol. 171(C).
    2. Antweiler, Werner & Muesgens, Felix, 2024. "The new merit order: The viability of energy-only electricity markets with only intermittent renewable energy sources and grid-scale storage," Ruhr Economic Papers 1064, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).
    4. Aagaard, Todd & Kleit, Andrew, 2022. "Why capacity market prices are too high," Utilities Policy, Elsevier, vol. 75(C).
    5. Pär Holmberg & Thomas Tangerås, 2023. "A Survey of Capacity Mechanisms: Lessons for the Swedish Electricity Market," The Energy Journal, , vol. 44(6), pages 275-304, November.
    6. Bichuch, Maxim & Hobbs, Benjamin F. & Song, Xinyue, 2023. "Identifying optimal capacity expansion and differentiated capacity payments under risk aversion and market power: A financial Stackelberg game approach," Energy Economics, Elsevier, vol. 120(C).
    7. Wang, Renshun & Wang, Shilong & Geng, Guangchao & Jiang, Quanyuan, 2024. "Multi-time-scale capacity credit assessment of renewable and energy storage considering complex operational time series," Applied Energy, Elsevier, vol. 355(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:juipol:v:84:y:2023:i:c:s0957178723001662. 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: https://www.sciencedirect.com/journal/utilities-policy .

    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.