Emissions per million DC microgrids, as an important form of comprehensive utilization of new energy, play an important role in the effective utilization of distributed power generation. A cascaded auto-disturbance rejection control strategy based on deep deterministic strategy is designed to address the problem of deteriorating power quality of interface converters in DC microgrids under the influence of real-time disturbances. Firstly, a new observer is introduced into the original state observer and cascaded with it to form a cascaded auto disturbance rejection, which improves the initial observer"s ability to observe disturbances and establishes a linear feedback law to counteract the observed disturbances, enhancing the system"s ability to suppress real-time disturbances. Secondly, in order to suppress the adverse effects caused by the uncertain characteristics of the system controller parameters, a deep deterministic gradient algorithm was introduced to achieve adaptive adjustment of the controller parameters, ensuring the real-time optimality of the system parameters and further enhancing the system"s ability to suppress real-time disturbances. Finally, theoretical analysis was conducted on the tracking performance and anti-interference performance of the observer, and the performance differences of different control strategies under various operating conditions were compared through simulation, verifying the correctness and superiority of the proposed control strategy.