• DocumentCode
    179801
  • Title

    Crawford-sobel meet Lloyd-Max on the grid

  • Author

    Larrousse, Benjamin ; Beaude, O. ; Lasaulce, Samson

  • Author_Institution
    L2S, Univ. Paris Sud 11, Gif-sur-Yvette, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6127
  • Lastpage
    6131
  • Abstract
    The main contribution of this work is twofold. First, we apply, for the first time, a framework borrowed from economics to a problem in the smart grid namely, the design of signaling schemes between a consumer and an electricity aggregator when these have non-aligned objectives. The consumer´s objective is to meet its need in terms of power and send a request (a message) to the aggregator which does not correspond, in general, to its actual need. The aggregator, which receives this request, not only wants to satisfy it but also wants to manage the cost induced by the residential electricity distribution network. Second, we establish connections between the exploited framework and the quantization problem. Although the model assumed for the payoff functions for the consumer and aggregator is quite simple, it allows one to extract insights of practical interest from the analysis conducted. This allows us to establish a direct connection with quantization, and more importantly, to open a much more general challenge for source and channel coding.
  • Keywords
    channel coding; game theory; quantisation (signal); smart power grids; source coding; channel coding; consumer; electricity aggregator; nonaligned objectives; payoff functions; quantization problem; residential electricity distribution network; signaling schemes; smart grid; source coding; Decoding; Economics; Games; Information processing; Quantization (signal); Smart grids; Best-response; Nash equilibrium; signal quantization; smart grid; strategic information transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854781
  • Filename
    6854781