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Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets

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  • Li, Hongyan
  • Sun, Junjie
  • Tesfatsion, Leigh S.

Abstract

This study uses an agent-based test bed ("AMES") to investigate separation and volatility of locational marginal prices (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid. Particular attention is focused on the dynamic and cross-sectional response of LMPs to systematic changes in demand-bid price sensitivities and supply-offer price cap levels under varied learning specifications for the generation companies. Also explored is the extent to which the supply offers of the marginal (price-determining) generation companies induce correlations among neighboring LMPs. Related work can be accessed at: http://www2.econ.iastate.edu/tesfatsi/AMESMarketHome.htm

Suggested Citation

  • Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh S., 2009. "Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets," Staff General Research Papers Archive 13075, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:13075
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    File URL: http://www2.econ.iastate.edu/papers/p1452-2009-06-09.pdf
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    References listed on IDEAS

    as
    1. Tesfatsion, Leigh, 2009. "Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules," Staff General Research Papers Archive 13074, Iowa State University, Department of Economics.
    2. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    3. Paul L. Joskow, 2006. "Markets for Power in the United States: An Interim Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-36.
    4. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2008. "Dynamic LMP response under alternative price-cap and price-sensitive demand scenarios," ISU General Staff Papers 200801010800001034, Iowa State University, Department of Economics.
    5. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, University Library of Munich, Germany.
    6. Somani, Abhishek & Tesfatsion, Leigh, 2008. "An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures," ISU General Staff Papers 200801010800001392, Iowa State University, Department of Economics.
    7. Liu, Haifeng & Tesfatsion, Leigh S. & Chowdhury, A.A., 2009. "Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets," Staff General Research Papers Archive 13068, Iowa State University, Department of Economics.
    8. Li, Hongyan & Tesfatsion, Leigh S., 2009. "Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study," Staff General Research Papers Archive 13070, Iowa State University, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Li, Hongyan & Tesfatsion, Leigh, 2012. "Co-learning patterns as emergent market phenomena: An electricity market illustration," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 395-419.
    2. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona School of Economics.
    3. Karhinen, Santtu & Huuki, Hannu, 2020. "How are the long distances between renewable energy sources and load centres reflected in locational marginal prices?," Energy, Elsevier, vol. 210(C).
    4. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.

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    More about this item

    Keywords

    Restructured wholesale power markets; multi-agent learning; demand-bid price sensitivity; AMES Wholesale Power Market Test Bed; agent-based modeling; locational marginal prices (LMPs); LMP separation; LMP volatility; supply-offer price caps;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D6 - Microeconomics - - Welfare Economics
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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