The invention discloses a self-adaptive
linearization probabilistic
power flow calculation method containing high-proportion
wind power grid connection, and the method is used for solving the problemin power
system power flow calculation considering high-proportion
wind power and load strong random disturbance. The method comprises the steps that firstly, a
Gaussian mixture model is adopted for uniformly depicting source-strong load randomness, and a source-load
uncertainty model is established; next, an input variable correlation sample is generated by
random simulation; then, self-adaptivelinearization
processing is carried out on the
power flow equation, and a random fluctuation range adaptive multi-area division is realized by adopting an iterative
algorithm, and
linearization is carried out in the division region so as to reduce the global
linearization error of the power flow, and an
analysis method of a self-adaptive linearization semi invariable method is adopted to obtain semi invariants of each order of the state variables after regional integrative recombination; and finally,
state variable probabilistic distribution fitting is carried out through C type
Gram-Charlierseries. By adoption of the method, the source-strong load randomness and correlation can be processed effectively, more accurate power flow distribution can be acquired, and advantages of accurate result and convenient realization are realized, so that the method is applicable to analysis and evaluation of the probabilistic risk in the high-proportion
wind power grid connection.