Distributed optimization of integrated energy communities considering source-load interaction

With the reform of the energy market, the distributed autonomy of each subject of the community integrated energy system becomes more and more obvious, which challenges the computation and communication capability of the traditional centralized model. Considering that flexible loads are connected to the integrated energy community through smart buildings, forming a distributed source-load interaction mode, a distributed optimal scheduling model based on the theory of objective cascade analysis is proposed. Firstly, the integrated energy service provider and smart buildings are considered as different interests, and their respective optimization and autonomy models are established with the goal of minimizing the operation cost. Secondly, an objective cascade analysis is introduced to decouple the operation of different subjects by equating the purchased power to virtual generators and virtual loads. Finally, the validity of the proposed method is verified by an example, which provides a more economical operation scheme for the integrated energy community operation.