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  • 标题:Hybrid Consensus-based Algorithm for Distributed Economic Dispatch Problem
  • 本地全文:下载
  • 作者:Xiao-Kang Liu ; Yan-Wu Wang ; Huaicheng Yan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:177-182
  • DOI:10.1016/j.ifacol.2017.08.030
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractEconomic dispatch is one of the fundamental problems in the power system research. The existing algorithms are either discrete iterative algorithms or continuous-time dynamical algorithms. By virtue of the hybrid techniques, a hybrid consensus-based algorithm is proposed in this paper, which consists of a finite-time continuous-time algorithm and a discrete-time interacted scheme. Moreover, inspired by the cluster synchronization and the benefit of the projection operator, a supervised strategy is carried out to ensure that each generator unit will work within its power generation constraint. For a better understanding of the supervised hybrid distributed algorithm, the detailed pseudo-code is presented. Finally, a numerical example is given to illustrate the effectiveness of the algorithm.
  • 关键词:Keywordseconomic dispatchhybrid systemconsensus protocoldistributed optimizationsmart grid
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