Decentralized Optimal Dynamic Control of Interlinking Converters for Priority-Driven Inertia Sharing Among Microgrid Clusters

Interlinking converters (ILCs) are critical interfaces for coordinating power exchange in hybrid ac/dc microgrid clusters. Practically, different microgrids have varying inertia capacities and load priorities, it is urgent to design flexible power exchange control of interlinking converters for priority-driven dynamic sharing. To achieve optimal inertia inter-support among microgrids, a decentralized optimal dynamic control of ILCs is proposed for priority-driven inertia sharing among microgrid clusters. Firstly, an inertia interaction optimization model is established, incorporating subgrid priority weights and inertia-support capacity. Secondly, the established optimization model is implemented in a decentralized manner by deriving a local ILC control law from the optimality condition. Furthermore, a quantitative analytical framework based on a whole equivalent circuit model is constructed to reveal the impact of control parameters on key dynamic indicators. The proposed strategy features high scalability and less-communication requirements of decentralized control, enabling global optimization of transient performance and priority support for critical loads. Finally, the proposed method is validated through five representative cases in a Hardware-in-the-loop (HIL) platform.