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Testing the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach

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Author Info
Koesrindartoto, Deddy P.
Tesfatsion, Leigh S.

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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://www.econ.iastate.edu/tesfatsi/AMESMarketHome.htm

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File URL: http://www.econ.iastate.edu/tesfatsi/usaeetalk.pdf
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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12326.

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Date of creation: 04 May 2005
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Handle: RePEc:isu:genres:12326

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
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Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Find related papers by JEL classification:
B4 - Schools of Economic Thought and Methodology - - Economic Methodology
C0 - Mathematical and Quantitative Methods - - General
L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
L5 - Industrial Organization - - Regulation and Industrial Policy
Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

References listed on IDEAS
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  1. 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. [Downloadable!] (restricted)
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  1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "DC Optimal Power Flow Formulation and Solution Using QuadProgJ," Staff General Research Papers 12558, Iowa State University, Department of Economics. [Downloadable!]
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