Optimal Scheduling Strategy for Intelligent Building Cooperation Game Considering Generalized Energy Storage

A cooperative game optimization scheduling strategy for intelligent building clusters considering generalized energy storage is proposed to address the difficulties in optimizing scheduling due to the wide variety of equipment types in current intelligent buildings, as well as the low utilization and high cost caused by configuring energy storage separately. Firstly, electric vehicles with flexible energy storage characteristics and ice storage air conditioning are introduced. Then, a generalized shared energy storage model is constructed using cooperative game theory. The coordinated optimization of energy consumption in intelligent building clusters is achieved in the form of building cooperative alliances. The energy flow is uniformly regulated through the energy storage sharing platform. Finally, a low-carbon operation model of the building comprehensive energy system is established with the goal of minimizing comprehensive operating costs.