The application relates to the technical field of power
system oscillation analysis, and discloses a method for identifying an ultra-
high voltage direct current sending-out
system oscillation source based on
wavelet analysis. The method comprises the following steps: collecting electrical quantities of measuring points, pre-
processing the electrical quantities to construct an input
tensor, inputting the input
tensor into four
wavelet branches to perform five-layer
convolution pooling to obtain feature maps, adaptively weighting and fusing the feature maps through a scale channel joint
attention network, inputting the feature maps into a bidirectional long short-
term memory network to calculate an oscillation source probability, an energy flow direction and a frequency energy in combination with historical states, and determining an oscillation source position according to a comprehensive criterion. The application solves the problems that
wavelet basis selection depends on experience, multiple oscillation sources are difficult to separate, and dynamic tracking capability is lacking, and improves the accuracy and real-time performance of ultra-
high voltage system oscillation source identification.