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An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs

Author

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  • Koesrindartoto, Deddy P.
  • Sun, Junjie
  • Tesfatsion, Leigh

Abstract

In April 2003 the U.S. Federal Energy Regulatory Commission (FERC) proposed the Wholesale Power Market Platform (WPMP) for common adoption by U.S. wholesale power markets. The WPMP is a complicated market design that has been adopted in some regions of the U.S. but resisted in others on the grounds that its reliability has not yet been sufficiently tested. This article reports on the development of an agent-based computational framework for exploring the economic reliability of the WPMP. The key issue under study is the extent to which the WPMP is capable of sustaining efficient, orderly, and fair market outcomes over time despite attempts by market participants to gain advantage through strategic pricing, capacity withholding, and/or induced transmission congestion. Related work can be accessed at: http://www2.econ.iastate.edu/tesfatsi/AMESMarketHome.htm

Suggested Citation

  • Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:12388
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    File URL: http://www2.econ.iastate.edu/tesfatsi/ieeepow.pdf
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    References listed on IDEAS

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    1. Tesfatsion, Leigh, 2001. "Nonlocal Sensitivity Analysis with Automatic Differentiation," Staff General Research Papers Archive 1990, Iowa State University, Department of Economics.
    2. Kalaba, R. & Tesfatsion, L., 1989. "Nonlocal Automated Sensitivity Analysis," Papers m8911, Southern California - Department of Economics.
    3. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    4. Tesfatsion, Leigh, 1991. "Automatic Evaluation of Higher-Order Partial Derivatives for Nonlocal Sensitivity Analysis," Staff General Research Papers Archive 11183, Iowa State University, Department of Economics.
    5. Severin Borenstein, 2002. "The Trouble With Electricity Markets: Understanding California's Restructuring Disaster," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 191-211, Winter.
    6. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
    7. Kalaba, Robert E. & Tesfatsion, Leigh S., 1991. "Solving Nonlinear Equations By Adaptive Homotopy Continuation," Staff General Research Papers Archive 11186, Iowa State University, Department of Economics.
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    Citations

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    Cited by:

    1. 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.
    2. Sun, Junjie & Tesfatsion, Leigh, 2006. "DC Optimal Power Flow Formulation and Solution Using QuadProgJ," Staff General Research Papers Archive 12558, Iowa State University, Department of Economics.
    3. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2011. "Industry evolution, rational agents and the transition to sustainable electricity production," Energy Policy, Elsevier, vol. 39(10), pages 6440-6452, October.
    5. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2016. "A Simple Agent-Based Spatial Model of the Economy: Tools for Policy," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-12.
    6. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    7. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    8. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    9. Francis Tseng & Fei Liu & Bernardo Alves Furtado, 2017. "Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life," Papers 1703.05240, arXiv.org, revised Mar 2017.
    10. Zhe Xiao & Tinghua Li & Ming Huang & Jihong Shi & Jingjing Yang & Jiang Yu & Wei Wu, 2010. "Hierarchical MAS Based Control Strategy for Microgrid," Energies, MDPI, Open Access Journal, vol. 3(9), pages 1-17, September.
    11. Imran, Kashif & Hassan, Tehzeebul & Aslam, Muhammad Farooq & Ngan, Hon-Wing & Ahmad, Intesar, 2009. "Simulation analysis of emissions trading impact on a non-utility power plant," Energy Policy, Elsevier, vol. 37(12), pages 5694-5703, December.

    More about this item

    Keywords

    wholesale power market; Agent-based test bed; market power; market efficiency;

    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
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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