Optimization Scheduling Method of Medium and Low Voltage AC / DC Distribution System for Distributed Resource Access

Given many problems caused by large-scale distributed power access, such as power reverse transmission, equipment/line overload, voltage over-limit, and so on, they are essentially caused by the inability of distributed power to absorb. With the rise of distributed energy and the deepening of the research on power electronic power systems, the flexible use of electric energy in the form of DC has been widely discussed. Distributed power supply and energy storage devices can be integrated into the system from the DC side, which reduces the inverter link of power electronic equipment, reduces the cost and loss, and improves the reliability of the power supply. To adapt to different types of power sources and loads, the distribution network is gradually developing into an AC/DC hybrid distribution network model. In this paper, the medium and low voltage AC/DC distribution network (M&L-V AC/DC DN) with distributed power supply, energy storage, and electric vehicle access is taken as the research object. A centralized-distributed coordinated medium and low voltage double-layer control architecture is established. The medium and low voltage control model and the model-solving algorithm based on the particle swarm optimization algorithm are established. The power flow calculation method of the AC / DC system is proposed. Several working conditions are set up to verify the effectiveness and applicability of the control architecture and model proposed in this paper.