The invention relates to the technical field of industrial power utilization
data processing, in particular to a distributed wind
turbine generator multipoint grid-connected
voltage cooperative control method and
system. Firstly, multi-period historical and real-
time data are collected, and dynamic change rules of
power grid load, power and droop control coefficients are captured; analyzing the sensitivity and regulation potential of the grid-connected node to the fluctuation of the reactive power and the droop control coefficient, and finding out a key node; in view of the high dynamic state of the
power grid and different credibility in different comparison periods, disturbance is applied to a key node droop control coefficient, predicted
voltage data is acquired based on operation parameter
time sequence data in the comparison periods, and the confidence of the comparison periods is determined by combining the consistency degree of the operation parameters; and finally, screening predicted
voltage data by using confidence, comparing the predicted voltage data with a rated voltage to construct an objective function, obtaining an optimal droop control coefficient, ensuring decision stability, dynamically adapting to
power grid working condition changes, stabilizing a grid-connected point voltage in a qualified range, and improving grid-connected reliability and anti-disturbance capability.