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Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function

Mohammadi Ivatloo, B ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1016/j.enconman.2011.12.004
  3. Publisher: 2012
  4. Abstract:
  5. The objective of the dynamic economic dispatch (DED) problem is to schedule power generation for the online units for a given time horizon economically, satisfying various operational constraints. Due to the effect of valve-point effects and prohibited operating zones (POZs) in the generating units cost functions, DED problem is a highly non-linear and non-convex optimization problem. The DED problem even may be more complicated if transmission losses and ramp-rate constraints are taken into account. This paper presents a novel and heuristic algorithm to solve DED problem of generating units, by employing time varying acceleration coefficients iteration particle swarm optimization (TVAC-IPSO) method. The effectiveness of the proposed method is examined and validated by carrying out extensive tests on different test systems, i.e. 5-unit and 10-unit test systems. Valve-point effects, POZs and ramp-rate constraints along with transmission losses are considered. To examine the efficiency of the proposed TVAC-IPSO algorithm, comprehensive studies are carried out, which compare convergence properties of the proposed TVAC-IPSO approach with conventional PSO algorithm, in addition to the other recently reported approaches. Numerical results show that the TVAC-IPSO method has good convergence properties and the generation costs resulted from the proposed method are lower than other algorithms reported in recent literature
  6. Keywords:
  7. Time varying acceleration coefficients iteration particle swarm optimization ; Comprehensive studies ; Convergence properties ; Dynamic economic dispatch ; Generating unit ; Generation cost ; Non-convex optimization ; Non-smooth ; Numerical results ; Operational constraints ; Prohibited operating zone ; PSO algorithms ; Ramp-rate ; Test systems ; Time horizons ; Time-varying acceleration coefficients ; Transmission loss ; Valve point effects ; Convergence of numerical methods ; Convex optimization ; Cost functions ; Heuristic algorithms ; Heuristic methods ; Particle swarm optimization (PSO) ; Wave transmission ; Problem solving
  8. Source: Energy Conversion and Management ; Volume 56 , 2012 , Pages 175-183 ; 01968904 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0196890411003499