  A bargaining game is investigated for cooperative energy management in
microgrids. This game incorporates a fully distributed and realistic
cooperative power scheduling algorithm (CoDES) as well as a distributed Nash
Bargaining Solution (NBS)-based method of allocating the overall power bill
resulting from CoDES. A novel weather-based stochastic renewable generation
(RG) prediction method is incorporated in the power scheduling. We demonstrate
the proposed game using a 4-user grid-connected microgrid model with diverse
user demands, storage, and RG profiles and examine the effect of weather
prediction on day-ahead power scheduling and cost/profit allocation. Finally,
the impact of users' ambivalence about cooperation and /or dishonesty on the
bargaining outcome is investigated, and it is shown that the proposed game is
resilient to malicious users' attempts to avoid payment of their fair share of
the overall bill.
