A multi-objective solution for deregulated power markets

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, a new market allocation method is proposed and the deregulated power market is formulated as a multi-objective optimization problem. An efficient algorithm that exploits simplicity out of a complex search to speed up the searching process is proposed and solves this problem accurately.

Original languageEnglish
Title of host publication1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages641-646
Number of pages6
Volume2
ISBN (Electronic)0780355695, 9780780355699
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes
Event1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Edmonton, Canada
Duration: 18 Jul 199922 Jul 1999

Other

Other1999 IEEE Power Engineering Society Summer Meeting, PES 1999
CountryCanada
CityEdmonton
Period18/7/9922/7/99

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Keywords

  • Genetic Algorithm
  • Least Bidden Cost Dispatch
  • Multi-Objective Optimization
  • Power Market

ASJC Scopus subject areas

  • Economics, Econometrics and Finance (miscellaneous)
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Huang, G. M., & Zhao, Q. (1999). A multi-objective solution for deregulated power markets. In 1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Conference Proceedings (Vol. 2, pp. 641-646). [787392] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PESS.1999.787392