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Pricing in Day-Ahead Electricity Markets with Near-Optimal Unit Commitment

Author

Listed:
  • Brent Eldridge

    (Federal Energy Regulatory Commission§, Washington - Environmental Health and Engineering Department, Johns Hopkins University, Baltimore)

  • Richard O'Neill

    (Federal Energy Regulatory Commission§, Washington, USA)

  • Benjamin F. Hobbs

    (Environmental Health and Engineering Department, Johns Hopkins University, Baltimore.)

Abstract

No abstract is available for this item.

Suggested Citation

  • Brent Eldridge & Richard O'Neill & Benjamin F. Hobbs, 2018. "Pricing in Day-Ahead Electricity Markets with Near-Optimal Unit Commitment," Working Papers EPRG 1840, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg1840
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    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1840.pdf
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    More about this item

    Keywords

    Unit commitment; nonconvex pricing; mixed integer programming; market design;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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