Adaptive Control of Converter Parameters Based on DDPG Algorithm

To improve the control issues of large-scale wind power grid connection, the optimization of control parameters for virtual synchronous generator (VSG) is of vital importance for system stability. This paper proposes an adaptive control strategy for grid-forming converters based on the Deep Deterministic Policy Gradient (DDPG) algorithm to solve the problems of dynamic oscillation of active power and frequency during grid connection, and to enhance the system response speed. Firstly, the mathematical model and characteristics of VSG are analyzed, relevant formulas are derived, root locus curves are plotted, and the ranges and adaptive rules of virtual inertia J and virtual damping coefficient D are obtained. Then, an adaptive parameter controller model is built based on the DDPG algorithm, and the algorithm flow and reward function are detailed. Through simulation comparisons between fixed parameter control and DDPG algorithm optimization control, the results verify the effectiveness of the algorithm in actual operation and providing strong support for the optimization operation of grid-forming converters and wind farms.