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Game-Theoretic Control of Energy Consumption Through Optimizing Social Costs for Future Smart Grid

Most of the current game-theoretic demand-side management methods focus primarily on the scheduling of home appliances, and the related numerical experiments are analyzed under various scenarios to achieve the corresponding Nash-equilibrium (NE) for optimal results. However, not much work is conducted for academic and commercial buildings. The methods for optimizing academic buildings are distinct from the optimization methodologies for home appliances. In this manuscript, a novel methodology is addressed to control the operations of heating, ventilation, and air conditioning system (HVAC). For any academic and commercial building, the HVAC system consumes considerable amount of electrical energy and impacts the personnels in the buildings which is interpreted as monetary value in this article. By implementing game theory, we formulate a controlling and scheduling game for the HVAC systems, where the players are the building managers and their strategies are the indoor temperature settings in the corresponding building. The proposed distributed HVAC controlling system requires each manager to set indoor temperature to the best response strategy for optimizing their overall management.