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Unit commitment using particle swarm-based-simulated annealing optimization approach

Sadati, N ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/SIS.2007.367951
  3. Publisher: 2007
  4. Abstract:
  5. In this paper, a new approach based on hybrid Particle Swarm-Based- Simulated Annealing Optimization (PSO-B-SA) for solving thermal unit commitment (UC) problems is proposed. The PSO-B-SA presented in this paper solves the two sub-problems simultaneously and independently; unit-scheduled problem that determines on/off status of units and the economic dispatch problem for production amount of generating units. Problem formulation of UC is defined as minimization of total objective function while satisfying all the associated constraints such as minimum up and down time, production limits and the required demand and spinning reserve. Simulation results show that the proposed approach can outperform the other solutions. © 2007 IEEE
  6. Keywords:
  7. Computer simulation ; Constraint theory ; Global optimization ; Problem solving ; Economic dispatch problem ; Thermal unit commitment ; Total objective function ; Simulated annealing
  8. Source: 2007 IEEE Swarm Intelligence Symposium, SIS 2007, Honolulu, HI, 1 April 2007 through 5 April 2007 ; 2007 , Pages 297-302 ; 1424407087 (ISBN); 9781424407088 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4223188