Distributed powers represented by photovoltaics and wind power have strong uncertainty. Their large-scale and decentralized access to the distribution network has brought severe challenges to the unified regulation of system resources. In order to realize the coordinated and optimized operation of multiple types of distributed resources in distribution networks

we propose a distributed robust optimization dispatching strategy based on the alternating direction multiplier method with adaptive step size. First

a multi-agent system is built to provide a distributed operation architecture for the optimal dispatch of the distribution network. Secondly

an optimal dispatching model of the distribution network based on the adjustable robust algorithm is established

and a robust cost coefficient optimal allocation method is proposed to achieve a reasonable balance between the conservativeness of the robustness and the economy. On this basis

the distributed optimization model of the distribution network is established based on the alternating direction multiplier method

and the efficient solution of the scheduling strategy is completed. The simulation results based on the modified IEEE 33-nodes system verify the superior convergence performance of the proposed distributed optimization model as well as the effectiveness of the optimal allocation method of robust cost coefficient.