The invention discloses a power distribution network
power quality disturbance detection method based on EWT and MFDE, and the method comprises the steps: extracting a PQ disturbance
signal in an active power distribution network
system, and carrying out the preprocessing; using empirical
wavelet decomposition (EWT) to perform
modal decomposition on the preprocessed PQ disturbance
signal to obtain an intrinsic mode function (BLIMF) containing feature information; using the intrinsic mode function BLIMF containing feature information as the input of a multi-scale oscillation dispersion entropyMFDE
algorithm, employing the multi-scale oscillation dispersion entropy MFDE
algorithm to carry out the dispersion entropy calculation of the intrinsic mode functions BLIMF obtained through mode
decomposition, and obtaining the multi-dimensional entropy vector of the PQ disturbance
signal under each intrinsic mode function BLIMF through calculation; carrying out PCA dimension reduction accordingto the obtained entropy vector, and then taking the result as an input quantity of an SVM
algorithm; and carrying out PQ disturbance signal identification on the active power distribution network
system containing the distributed energy. According to the method, each disturbance in the composite
power quality disturbance can be accurately detected and classified, the classification is accurate, and the method has certain anti-
noise capability.