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  • 标题:Model predictive control strategy of energy cost management for a compressed natural gas fuelling station
  • 本地全文:下载
  • 作者:Charles Kagiri ; Lijun Zhang ; Xiaohua Xia
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:18
  • 页码:851-855
  • DOI:10.1016/j.ifacol.2018.09.250
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractOptimized scheduling of compressor operation in compressed natural gas stations can achieve significant reduction in the cost of electricity in time-of-use electricity tariff environments. A model predictive control strategy for the scheduling of compressor activity is presented in this paper. The strategy ensures a robust responsiveness to meeting potential changes in gas demand patterns while at the same time minimizing electricity cost by a margin of up to 53.87%.
  • 关键词:KeywordsModel predictive controlcompressed natural gasdemand responsedisturbances
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