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Detection of Defaulting Participants With Time-Varying Failure Rates in Demand Response⁎This work was partly supported by Grant-in-Aid for Challenging Exploratory Research #19K21970 from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and CREST from Japan Science and Technology Agency, JST. Issue 2 (2020)
Record Type:
Journal Article
Title:
Detection of Defaulting Participants With Time-Varying Failure Rates in Demand Response⁎This work was partly supported by Grant-in-Aid for Challenging Exploratory Research #19K21970 from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and CREST from Japan Science and Technology Agency, JST. Issue 2 (2020)
Main Title:
Detection of Defaulting Participants With Time-Varying Failure Rates in Demand Response⁎This work was partly supported by Grant-in-Aid for Challenging Exploratory Research #19K21970 from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and CREST from Japan Science and Technology Agency, JST.
Abstract: In 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 on block-sparse reconstruction. The proposed algorithm is demonstrated through numerical simulation.