Research on Source-Load-Storage Collaborative Control Strategy for Novel Distribution Networks under Non-Ideal Communication Environments

In order to address the issues of complex and variable economic and security control, as well as the difficulties of centralized computing in novel distribution networks under non-ideal communication environments, a highly scalable and reliable distributed control strategy is proposed. Initially, a global sampling method is employed to enhance the optimization of the state transition matrix, thereby accelerating the algorithmic convergence. Subsequently, a self-switching control strategy for node communication states is introduced to enhance the flexibility of the control strategy. Then, based on the consensus principle of multi-agent systems, the incremental cost of source-load-storage agent nodes is used as the consensus variable to achieve optimal economic operation of the distribution network. Finally, the effectiveness of the proposed strategy is validated through simulation case studies.