The invention discloses a power
system fault diagnosis method comprehensively using
electricity amount and timing sequence information. Firstly, power-off areas before and after a fault are compared and analyzed to determine the fault area, and a suspicious element set is formed; secondly,
a weighting fuzzy timing sequence
Petri net model is built, and
SCADA information,
electricity amount information of a WAMS and the timing sequence characteristics included in the information are integrated to form the alarm information criterion, place
delay restraints and the
electricity amount criterion; a
Gaussian function is adopted, the confidence coefficient of alarm information is obtained in combination with timing sequence reasoning, the initial confidence coefficient of the
Petri net model is calculated through array calculation, and the model is solved; finally, backward reasoning is carried out according to the
fault probability of an element, and protection and judgment of maloperation and motion refusal of a
disconnector are carried out. The power
system fault diagnosis method is high in fault-tolerant capability, can
handle the phenomena of protection and maloperation / motion refusal of the
disconnector and the phenomenon that an alarm is lost or wrong, and improves the accuracy and reliability of the fault diagnosis result.