The invention belongs to the technical field of power distribution network scheduling
automation, and particularly relates to a method for fast state
estimation of a power distribution network based on three pieces of measurement data. The method comprises the following steps of setting the taking time of
SCADA measurement to be Eb+Tk in order to enable the sampling time of the
SCADA measurement data to be consistent with the time of PMU data, wherein Eb is an expectation of
SCADA measurement delay, and Tk is the
occurrence time of the PMU data; adopting a linear extrapolation method to supplement high-precision pseudo measurement data in order to fuse PMU, SCADA and AMI measurement data; and establishing a mixed measurement state
estimation model, computing a Jacobi equation
H matrix, adding the active power and the reactive power for compensation decoupling, and obtaining a state
estimation result after iteration solution. According to the method, a problem of data alignment of time-scale-free measurement and long-
delay measurement is solved, the
observability, the estimated accuracy and the computation convergence of the
system are improved, and the problems of high mixed measurement dimension and
slow convergence are solved.