Residential Hvac Load Control Strategy Based On Game Theory

It is still a challenging and significative problem on how to adjust the community power demand to reduce the spending, satisfy the living comfort requirement and maximize the service provider's profit. In this paper, a Stackelberg game-based demand response (SGDR) algorithm is proposed in a microgrid community setup. To achieve win-win situation for both sides, the interaction between the load serving entity and the microgrid is formulated as a Stackelberg game where the load serving entity acts as a leader offering the dynamic real-time price and the microgrid is a follower making the reasonable response to the leader's price strategy. Besides, considering the potential of heat-storage technology in demand response, the residential heating, ventilation and air-conditioning (HVAC) unit is adopted as demand-side responsive resource. The running status of HVAC unit can be regulated according to the proposed real-time price with bounded temperature constraints. To solve this problem, a queueing model is developed according to the HVAC equivalent thermal parameters (ETP) model. The simulation results based on practical data indicate that the proposed SGDR algorithm can guarantee not only the users' comfortable requirements but also the benefits of players in the game.