The invention discloses a power
system steady-state
power flow risk identification and prevention method, a storage medium and equipment. The method comprises the steps of carrying out the probabilitymodeling of an output prediction error of a
new energy unit based on prediction data and an actual
data set of historical
wind speed and illumination intensity, and a power characteristic curve of the
new energy unit, according to the real-time prediction value of the output of the current
new energy unit, obtaining a probability distribution expression of a corresponding prediction error, and performing random
power flow calculation by adopting a semi-invariant method to obtain probability distribution of
voltage and
branch power of each node, and according to a probability distribution setthreshold, judging whether a risk of
voltage and
power flow boundary crossing exists at the prediction moment, in the case of no risk, carrying out calculation at the next moment, and in the case of arisk, carrying out active and reactive adjustment on the generator set, and carrying out random power flow calculation again until no risk exists. The method can accurately and efficiently identify the area and degree of the steady-state power flow risk of the power
system, provide
risk prevention measures, and improve the safe and stable operation capability of the power
system.