The application discloses a large data optimized nonlinear cooperative control method and
system of a converter
station, and relates to the technical field of converter
station control. The method comprises the following steps: obtaining real-time
voltage and real-time current of a target converter
station grid-connected point, and calculating real-time
power grid impedance and impedance fluctuation rate; identifying the current
power grid working condition type according to the impedance fluctuation rate; when the working condition is identified as a disturbance working condition, taking the real-time
power grid impedance as input, and obtaining preliminary
virtual inertia parameters and preliminary damping parameters through a double-
branch cooperative regression network; based on the real-time power
grid impedance and the impedance fluctuation rate, performing nonlinear correction on the preliminary
virtual inertia parameters and the preliminary damping parameters to obtain target
virtual inertia parameters and target damping parameters, generating control output, performing amplitude limiting
processing through a saturation function to obtain nonlinear cooperative control instructions, and driving the converter station to perform flexible synchronous output. The application realizes real-time
adaptive optimization of virtual
inertia and damping parameters under weak power grid working conditions, and suppresses transient overshoot, oscillation and
harmonics.