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  • 标题:Detection of Defaulting Participants With Time-Varying Failure Rates in Demand Response ⁎
  • 本地全文:下载
  • 作者:Fangyuan Xu ; Shun-ichi Azuma ; Koichi Kobayashi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:13328-13332
  • DOI:10.1016/j.ifacol.2020.12.166
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn contract-based demand response, there is a possibility that some participants may default on providing their scheduled negawatt energy. Therefore, one of the essential functions of the aggregator is to detect defaulting participants. This paper aims at solving the problem of detecting defaulting participants with time-varying failure rates in contract-based demand response, provided that the aggregator can inspect the total negawatt energy and the individual negawatt energy of a limited number of participants via smart meters. By assuming that there are only a few defaulting participants and they default in all periods, we propose a detection algorithm based onblock-sparse reconstruction.The proposed algorithm is demonstrated through numerical simulation.
  • 关键词:Keywordsdemand responsedefault detectionblock-sparse reconstruction
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