Accurate Inertia Control of Grid-forming Converters based on DDPG

With the growing penetration of renewable energy sources, grid-forming converters have become an effective means to enhance the inertia of the power systems. However, the inertia provided by a grid-forming converter is susceptible to the control mode, operational scenario, and controller parameters. To address these issues, this paper proposes a system-equivalent accurate inertia control strategy. Accounting for the coupling between the accurate inertia and the effective damping of the system, we consider to model this problem as an observable Markov decision process and employ the deep deterministic policy gradient (DDPG) algorithm to address it. The simulation results demonstrate that, compared to traditional control methods, the proposed control strategy is capable of achieving accurate inertia control while stabilizing the system.