Data mining-based power distribution network fault precise localization method
A technology for accurate positioning of power distribution network faults, applied in data processing applications, complex mathematical operations, instruments, etc., can solve problems such as economic losses of power grid enterprises and industrial users, affecting the normal electricity consumption of ordinary residents, etc.
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[0063] Urban distribution network or rural power grid is a typical ungrounded system. Due to the lack of zero-sequence access, it is impossible to quickly determine the location of the fault point through protection or fault recording devices. And due to the difference in the peak and valley of electricity load, there will be a certain difference in the amount of load lost when a failure occurs in the peak and valley of electricity consumption in the same electricity load area. Therefore, it is difficult to lock the lost load area simply according to the magnitude of the lost load. In view of this, the present invention performs data fitting and Fourier transformation on the data point sets of active power, reactive power and current, thereby obtaining a frequency domain function that has nothing to do with time, and avoiding the influence of the peak-to-valley difference of electric load and the time of fault occurrence on the fault Impact of component analysis. So as to lay...
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