Optimal scheduling method of medium-low voltage AC-DC hybrid distribution network based on parallel ADMM algorithm

In recent years, with the increasing trend of DC on the distribution side, the optimal dispatching problem of AC-DC hybrid distribution network has attracted much attention. This paper presents a method of partition distributed optimization based on parallel ADMM, the hybrid distribution network is divided into AC and DC subregions based on the connection of voltage source converters. To model this network, the coupling branch method is employed. Initially, a distributed voltage optimization model is created to minimize network losses, voltage deviation, and flexible load utilization. To tackle the non-convex nature of this optimization problem, the alternating direction multiplier distributed method is utilized. Through techniques like second-order cone relaxation, the problem is transformed into a convex optimization model. Subsequently, simulation calculations are conducted on a modified IEEE 33 node example system. The analysis focuses on the impact of AC power and distributed power supply on DC voltage. By comparing optimization results under different control modes, the validity and rationality of the proposed model are verified. The parallel ADMM algorithm plays a crucial role in accelerating the optimization process, thereby enhancing calculation efficiency and facilitating the faster determination of optimal scheduling schemes for medium-low voltage AC-DC hybrid distribution networks. In summary, the future direction of research lies in developing scheduling methods based on parallel ADMM algorithms, aiming to provide more efficient and reliable solutions for the operation and management of hybrid distribution networks.