Coordinated optimization scheduling of distribution network and microgrid based on dynamic networking and electricity price incentives

• A novel RPFC-based dynamic network formation scheme proposed for distribution networks. • Coordinated optimization strategy links distribution networks with microgrid clusters via price incentives. • Autonomous microgrid operation model is developed, ensuring data privacy. • Improved voltage stability and 14.7 % market revenue increase validated by simulations. Addressing issues such as voltage violations in medium and low voltage distribution networks and disorderly scheduling of distributed resources, this paper proposes a dynamic network formation optimization scheme based on the Rotary Power Flow Controller (RPFC), and an electricity price incentive strategy for integrating distributed resources for microgrid clusters. First, an optimal operation strategy based on RPFC-dominated dynamic network formation and electricity price incentives on the distribution network side is proposed, and a two-layer, phased optimization model is established. Secondly, an autonomous optimization model for the microgrid side is introduced, achieving the optimal autonomous operation of each microgrid while ensuring their privacy. Then, microgrids are treated as equivalent loads or power outputs on the distribution network side, and combined with the bidirectional power control capability of RPFC, the power flow distribution is optimized to realize dynamic network formation. Finally, through simulations using the IEEE 33-bus test system, the results show that the coordinated optimization model of distribution-microgrids, while stabilizing voltage, increased the total market revenue by 14.7 %, validating the effectiveness of the proposed model in enhancing the coordination capability of distributed resources and improving voltage quality.