An evolutionary generation scheduling in an open electricity market

K. Dahal, T. Siewierski, S.J. Galloway, G.M. Burt, J.R. McDonald

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The classical generation scheduling problem defines on/off decisions (commitment) and dispatch level of all available generators in a power system for each scheduling period. In recent years researchers have focused on developing new approaches to solve non-classical generation scheduling problems in the newly deregulated and decentralized electricity market place. In this paper a CA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A generation scheduling problem has been formulated and solved using available trading information at the time of dispatch. The solution is updated after new information is obtained in a rolling fashion. The approach is tested for two IEEE network based problems, and achieves comparable results with a Branch and Bound technique in reasonable CPU time
Original languageEnglish
Pages1134-1142
Number of pages9
DOIs
Publication statusPublished - Jun 2004
EventCongress on Evolutionary Computation (CEC 2004) - Portland, United States
Duration: 19 Jun 200423 Jun 2004

Conference

ConferenceCongress on Evolutionary Computation (CEC 2004)
CountryUnited States
CityPortland
Period19/06/0423/06/04

Keywords

  • evolutionary
  • generation scheduling
  • open
  • electricity market
  • unit commitment
  • dispatch
  • genetic algorithm

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