Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing
James Nicolaisen,
Valentin Petrov and
Leigh Tesfatsion ()
Staff General Research Papers Archive from Iowa State University, Department of Economics
Abstract:
This 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 modifed 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 electricity study in which buyers and sellers instead engage in social mimicry learning via genetic algorithms. Related work can be accessed at: http://www2.econ.iastate.edu/tesfatsi/AMESMarketHome.htm
Keywords: agent-based computational economics; Wholesale electricity market; restructuring; repeated double auction; market power; efficiency; concentration; capacity; individual reinforcement learning; genetic algorithm social learning (search for similar items in EconPapers)
Date: 2000-08-27
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www2.econ.iastate.edu/tesfatsi/mpeieee.pdf (application/pdf)
Related works:
Working Paper: Market power and efficiency in a computational electricity market with discriminatory double-auction pricing (2002) 
Working Paper: MARKET POWER AND EFFICIENCY IN A COMPUTATIONAL ELECTRICITY MARKET WITH DISCRIMINATORY DOUBLE-AUCTION PRICING (2001) 
Working Paper: Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing (2001)
Working Paper: Market Power and Efficiency in a Computational Electricity Market With Discriminatory Double-Auction Pricing (2001) 
Working Paper: Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing (2000) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:isu:genres:1952
Access Statistics for this paper
More papers in Staff General Research Papers Archive from Iowa State University, Department of Economics Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070. Contact information at EDIRC.
Bibliographic data for series maintained by Curtis Balmer ().