Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing
AbstractThis study reports experimental market power and efficiency outcomes for a computational wholesale electricity market operating in the short run under systematically varied concentration and capacity conditions. The pricing of electricity is determined by means of a clearinghouse double auction with discriminatory midpoint pricing. Buyers and sellers use a modified Roth-Erev individual reinforcement learning algorithm to determine their price and quantity offers in each auction round. It is shown that high market efficiency is generally attained and that market microstructure is strongly predictive for the relative market power of buyers and sellers, independently of the values set for the reinforcement learning parameters. Results are briefly compared against results from an earlier study in which buyers and sellers instead engage in social mimicry learning via genetic algorithms. Annotated pointers to related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/aelect.htm
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 2050.
Date of creation: 01 Oct 2001
Date of revision:
Publication status: Published in IEEE Transactions on Evolutionary Computation, October 2001, vol. 5 no. 5, pp. 504-523
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
Web page: http://www.econ.iastate.edu
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Other versions of this item:
- James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, EconWPA.
- Nicolaisen, James & Petrov, Valentin & Tesfatsion, Leigh S., 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Staff General Research Papers 1952, Iowa State University, Department of Economics.
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D4 - Microeconomics - - Market Structure and Pricing
- D6 - Microeconomics - - Welfare Economics
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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