Study on Energy Management Method for Intelligent Building Clusters Using Mobile Energy Storage of Electric Vehicles with Distributed Algorithms

This study proposes a coordinated optimization method for intelligent building clusters, leveraging the mobile energy storage characteristics of electric vehicles (EVs) for enhanced energy management. A two-stage scheduling model is developed, integrating centralized and distributed algorithms to optimize EV charging and discharging across multiple buildings. The approach explores demand-side flexibility, improves renewable energy utilization, and ensures building autonomy. Case studies demonstrate that the proposed strategy promotes energy complementation, reduces dependence on the main grid, and boosts the local consumption rate of renewable energy. The mobile energy storage model effectively addresses multi-trip scenarios, providing a comprehensive solution for spatiotemporal energy optimization. The DSG algorithm ensures efficient energy sharing and cost-effective power exchange between buildings. Future research should focus on further improving renewable energy integration by considering diverse user energy preferences and the unique characteristics of flexible resources within buildings.