Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization

  • Authors:
  • Tiew-On Ting;M. V. C. Rao;C. K. Loo;S. S. Ngu

  • Affiliations:
  • Jalan Ayer keroh Lama, Multimedia University, 75450 Melaka, Malaysia. toting@mmu.edu.my;Jalan Ayer keroh Lama, Multimedia University, 75450 Melaka, Malaysia;Jalan Ayer keroh Lama, Multimedia University, 75450 Melaka, Malaysia;Jalan Ayer keroh Lama, Multimedia University, 75450 Melaka, Malaysia

  • Venue:
  • Journal of Heuristics
  • Year:
  • 2003

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Abstract

This paper presents a Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) problem. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as the minimization of the total objective function while satisfying all the associated constraints. Problem formulation, representation and the simulation results for a 10 generator-scheduling problem are presented. Results shown are acceptable at this early stage.