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  • 标题:Stochastic Economic Load Dispatch with Multiple Fuels using Improved Particle Swarm Optimization
  • 本地全文:下载
  • 作者:Mirtunjay K. Modi ; A. Swarnkar ; N. Gupta
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:30
  • 页码:490-494
  • DOI:10.1016/j.ifacol.2015.12.427
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, Stochastic Economic Load Dispatch (ELD) problem with multiple fuels is solved using Improved Particle Swarm Optimization (IPSO). Generally, ELD problem is solved using deterministic models, but data required for such studies are rarely available with complete certainty. So uncertainties in unit’s generation, load demand and cost coefficients should be considered to get actual scenario. Thus, stochastic model for ELD problems is more suitable than deterministic model from the utilities point of view. ELD problem with deterministic model is first solved using IPSO to examine the effectiveness of the proposed method. Then IPSO is applied for ELD problem with stochastic model to investigate the real generation cost.
  • 关键词:KeywordsEconomic Load DispatchMultiple Fuel GenerationParticle swarm optimization
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