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

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

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:

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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 13075.

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Date of creation: 09 Jun 2009
Date of revision:
Handle: RePEc:isu:genres:13075
Contact details of provider: Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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  1. Somani, Abhishek & Tesfatsion, Leigh S., 2008. "An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures," Staff General Research Papers 12977, Iowa State University, Department of Economics.
  2. Paul L. Joskow, 2005. "Markets For Power In The United States - An Interim Assessment," Working Papers 0512, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
  3. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Society for Computational Economics, vol. 30(3), pages 291-327, October.
  4. Li, Hongyan & Tesfatsion, Leigh S., 2009. "Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study," Staff General Research Papers 13070, Iowa State University, Department of Economics.
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