Optimal standing reserve utilisation using genetic algorithms

F Li, X Zhang, R W Dunn

Research output: Contribution to conferencePaper

9 Citations (SciVal)


This paper proposes a genetic algorithm (GA) based economic contracting strategy for standing reserve in a typical standing reserve market. The aim of the contracting procedure is to identify the standing reserve tenders to be contracted and the correct-contract order among the tender options received and scheduled reserve alternatives, to meet the reserve requirement at the lowest possible cost. The contract ordering is a simple problem when all options are rendering for a fixed period of time, however, it becomes troublesome with the presence of flexible contracts, i.e. with standing reserve only available for a partial service window. The proposed GA contracting strategy aims to address the complexity caused by flexible contracts. The results for a system with 16 fixed and flexible tender options are presented and compared with those of mixed integer linear programming (MILP) methods
Original languageEnglish
Pages553-558 vol.2
Publication statusPublished - 2001
EventPower Engineering Society Winter Meeting, 2001. IEEE -
Duration: 1 Jan 2001 → …


ConferencePower Engineering Society Winter Meeting, 2001. IEEE
Period1/01/01 → …


  • flexible contracts
  • electricity supply industry
  • genetic algorithms
  • contract ordering
  • power system economics
  • partial service window
  • optimal standing reserve utilisation
  • contracts
  • tender options
  • economic contracting strategy


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