Analyzing oligopolistic electricity market using coevolutionary computation

H. Chen, K. P. Wong, D. H.M. Nguyen, C. Y. Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

76 Citations (Scopus)

Abstract

This paper presents a new unified framework of electricity market analysis based on coevolutionary computation (CCEM) for both the one-shot and the repeated games of oligopolistic electricity markets. The standard Cournot model and the new Pareto improvement model are used. The linear and constant elasticity demand functions are considered. Case study shows that CCEM is highly efficient and can handle the nonlinear market models that are difficult to be handled by conventional methods. The framework presented in this paper can help to overcome the difficulties of demand function specification encountered by the Cournot models. CCEM is found to be an effective and powerful approach for electricity market analysis.

Original languageEnglish
Pages (from-to)143-152
Number of pages10
JournalIEEE Transactions on Power Systems
Volume21
Issue number1
DOIs
Publication statusPublished - Feb 2006

Keywords

  • Coevolutionary computation (CCEM)
  • Cournot oligopoly
  • Market simulation
  • Pareto improvement

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Analyzing oligopolistic electricity market using coevolutionary computation'. Together they form a unique fingerprint.

Cite this