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Award ID contains: 2238381

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  1. ; ; (, Purdue e-Pubs)
    Accepted Manuscript Full Text Available
  2. ; (, IEEE)
    Full Text Available 
  3. ; (, 2023 62nd IEEE Conference on Decision and Control (CDC))
    This paper introduces a game-theoretical strategy for optimal dispatch of building thermal loads, based on a marginal price model derived from an actual dispatch curve. A non-cooperative game is formulated, and the existence and uniqueness of the Nash equilibrium solution are proved aided by the variational inequality theory. A game solution algorithm is presented in this paper to solve the control problem with guaranteed convergence. The proposed game-theoretical control technique was evaluated against a baseline energy minimization strategy and a socially optimal solution, through a simulation test of a virtual market comprised of six buildings. The results show that the proposed game-theoretical strategy could achieve performance very close to the social optimum with a Price of Anarchy of 1.0041 and a 24% cost reduction compared to the baseline energy-priority strategy. 
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    Accepted Manuscript Full Text Available