The invention discloses a power
failure risk computing method for an
electric power system containing double-fed
wind power plant. The power
failure risk computing method comprises the steps of pre-establishing
multiple models, wherein a
simulation process comprises the steps of determining the initial working condition of a
system, and setting an initial fault; determining whether a
short circuit fault or line broken fault occurs or not, if the
short circuit fault occurs,
processing according to an off-
network model of a wind
turbine generator, and then performing island-division searching; determining a frequency fall-off and
recovery condition of an electrical island according to a
frequency stabilization model, and enabling the electrical island to restore to a
power balancing state; carrying out
alternating current power flow calculation on the
system and determining whether the system is converged or not, if not, solving a
power flow convergence boundary, and analyzing
voltage weak points; switching loads for the
voltage weak points; next, determining whether the system is restored to be stable or not, if not, determining that the current
wind power plant system is subjected to global
voltage collapse,
cutting all loads; and if the system is restored to be stable, determining whether a tangent line exists or not, if so, returning to perform the island-division searching step, and or otherwise, finishing the
simulation process. By adoption of the power
failure risk computing method, the load reducing amount required by the system for
system recovery can be reduced to the minimum, and
cascading failure analysis error is lowered.