The invention provides a distribution network power
failure risk assessment method considering emergency resource dynamic scheduling in strong wind and rain weather. The method comprises the following steps: in
extreme weather of strong wind and rain, firstly, predicting
tower and lead element fault probabilities of a distribution line according to forecast data of
wind speed and rainfall intensity, and combining to obtain the
fault probability of the whole line; generating an original fault scene set of the power distribution network by adopting Latin
hypercube sampling, clustering original scenes by adopting a k-medoids method, and constructing a representative fault scene set by using a final clustering center to realize scene screening; further, aiming at each scene, constructing a power distribution
network recovery optimization model considering mobile
energy storage and maintenance resource dynamic collaborative scheduling, solving to obtain an optimal
recovery decision, and calculating a power
failure risk index of each node; and after all scenes are traversed, performing statistics to obtain a final power
failure risk index of the power distribution network. According to the method, the technical problem that the real
risk level of the power distribution network is difficult to accurately and objectively reflect in the prior art is solved.