With the expansion of new energy grid connection scale, the penetration rate of wind turbine increases significantly, which leads to the deterioration of power system inertia and damping characteristics, affecting the stable operation of power grid. Aiming at the problem of insufficient dynamic response due to fixed parameters in the virtual synchronization control strategy of doubly-fed wind turbine, this paper proposes a dual-adaptive control strategy based on radial basis function (RBF) neural network for inertia and damping of DFIG-VSG syst...
