The invention discloses a power distribution secondary equipment operation state intelligent discrimination method based on multi-dimensional
signal deep analysis, and relates to the technical field of power
system state monitoring, and the method comprises the following steps: in a short-time parallel operation state of a power distribution network, uniformly expanding a zero-sequence protection
signal and an
overcurrent protection
signal on the same time scale, constructing a combined time chain for capturing transient jump; and positioning a plurality of time points where the action directions deviate on the joint time chain, and connecting the continuous time points where the action directions deviate in series according to a
time sequence to form a conflict
time zone for marking a protection signal direction
divergence region. According to the method, by constructing the joint time chain and the conflict
time zone, the abnormal action trend is accurately recognized, blocking before
tripping is achieved in combination with reverse superposition
sequence matching, and misoperation is avoided; after the opening signal is frozen, the opening signal is introduced into a
breathing type coordination channel, and the impulse current is dispersed and the contact loss is reduced through amplitude-limiting probing and delayed flexible closing signal alternative output and micro-scale
dislocation control.