The present invention proposes a method and
system for distinguishing the fault type of a
power transmission line based on a
capsule network. By acquiring a large amount of PMU (
Phasor Measurement Unit) data, the PMU data is graphically generated into a
radar chart; a
power transmission line fault type distinction model based on a
capsule network is constructed, a
training set and a
test set are divided, the
training set is input into the model for training, and the change characteristics of the graphical PMU data are extracted; the
test set is input into the trained model for testing, and the test results are classified and output in the form of a
confusion matrix; the fault type of the
transmission line is distinguished. The present invention does not require
logical reasoning, nor does it require the introduction of a large amount of knowledge describing the behavior of the
protection system. It only needs to extract the features corresponding to different fault types from the graphical PMU data. The modeling and
model modification process is simple and easy to operate, the PMU data is graphically generated, computing resources are saved, the model training and testing speed is fast, and the
diagnostic accuracy is relatively high.