This invention discloses a method for identifying
broadband voltage fluctuation types in power grids based on multi-
feature fusion, relating to the field of
voltage fluctuation technology. It addresses the problem of fluctuation type
confusion under conditions of multiple disturbances and non-stationary operation. The method involves acquiring three-phase
voltage data from voltage transformers and calculating the voltage deviation rate, while simultaneously retrieving the short-time
flicker index. A fluctuation identification mechanism is jointly triggered based on these two factors. After triggering, a
broadband voltage
signal is acquired and
modal decomposition is performed. The instantaneous frequencies of each mode are extracted and classified. Historical voltage data is retrieved to construct the voltage envelope trajectory, and the envelope
asymmetry is calculated. Disturbances are introduced to different
modes to enhance energy, and the
modal energy spectra are calculated and fused to form
modal modulation feature vectors. A pre-trained
support vector machine model is used for classification mapping, achieving accurate identification of
sinusoidal modulation, rectangular modulation, and interharmonic modulation voltage fluctuations, thus improving identification accuracy under complex operating conditions.