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
Link To Document :
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