Research on Automatic Detection of Distribution Line Disconnection Fault Based on Morphology Wavelet
The conventional automatic detection method for wire breakage mainly focuses on fault signal recognition,without considering the influence of negative sequence current and voltage on fault detection,resulting in automatic detection errors.Therefore,a morphology wavelet based automatic detection method for distribution line disconnection faults was designed.Extract the characteristics of current changes in distribution line disconnection faults,analyze the changes in positive,negative,and zero sequence currents,and determine the category of distribution line disconnection faults.Based on morphology wavelet,an automatic detection model for line breakage faults is constructed.The distribution line breakage fault signal is subjected to expansion,corrosion,decomposition and other operations to obtain accurate fault input conditions,avoiding the problem of automatic fault detection errors.Based on the minimum change in negative sequence current at the outlet of the faulty feeder line,the branch coefficient of the negative sequence network for the broken fault of the distribution line is solved to obtain the maximum positive sequence impedance of the load,thereby determining the broken fault section.Through simulation experiments,it has been verified that this method has higher accuracy in automatic detection and can be applied to practical life.
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