Distributed optimization control strategy for distribution network based on the cooperation of distributed generations

Aiming to improve the voltage distribution and realize the proportional sharing of active and reactive power in the distribution network (DN), this article proposes a distributed optimal control strategy based on the grouping cooperation mechanism of the distributed generation (DG). The proposed strategy integrates the local information of the DG and the global information of the DN. Considering the high resistance/reactance ratio of DN, distributed optimization control strategies for node voltage control and active power management are developed with the consensus variable of active utilization rate. And distributed strategy for reactive power management is proposed with a consensus variable of reactive utilization rate. The convergence of the distributed control system for each group is proved. The validity and robustness of the proposed strategy are verified by several simulations in the IEEE 33‐bus system. Here, a distributed optimal control strategy based on a DG grouping collaboration mechanism is studied. By aggregating multiple power generation units into leader–follower teams, the leader–follower consensus protocol is used to solve optimal control problems such as controlling node voltages or managing exchanged power. The framework of distributed collaborative control, the selection of control objectives, and consistency variables are given, and the convergence of the distributed control system for each group is demonstrated.