Artificial neural network-based fault positioning method of ultrahigh-voltage DC power transmission line
An artificial neural network and ultra-high voltage direct current technology, applied in the direction of fault location, measurement of electricity, measurement of electrical variables, etc., can solve problems such as poor positioning accuracy and influence of line parameter accuracy, and achieve strong ability to withstand transition resistance and high precision Effect
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[0031] The present invention mainly adopts the head amplitude ratio of voltage traveling wave and current traveling wave line mode components in different scales, takes the UHV DC transmission line fault location method based on artificial neural network as the core, supplemented by the global geometric mean optimal method Carry out fault distance measurement, the content of the invention is described further now, the fault location process of the present invention is as follows figure 2 shown.
[0032] 1. When the transmission line fails, the current signal and voltage signal of the line are respectively obtained from the measurement points at both ends of the transmission line. When the transmission line fails, the current signal and voltage of the line are respectively obtained from the measurement points at both ends of the transmission line Signal, the simulation sampling frequency is 100kHz.
[0033] 2. At present, UHV DC transmission lines mostly operate in bipolar mo...
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