Efficient computation of shapley values for demand response programs

  • Authors:

  • Gearóid O'Brien;Abbas El Gamal;Ram Rajagopal

  • Affiliations:

  • Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA

  • Venue:
  • Proceedings of the fourth international conference on Future energy systems
  • Year:
  • 2013

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Abstract

Demand Response, or adjusting the aggregate load profile as a means to help balance supply and demand in electricity grids, is currently a popular area of research. In this paper, we propose analyzing demand response schemes in a game theoretic setting, and utilizing the Shapley Value for fairly compensating participants of such schemes. As exact computation of the Shapley Value is intractable in general, we also propose a pseudo-randomized sampling method that can dramatically reduce the variance of the Shapley Value estimate when compared to other methods.