Single-End Frequency Domain Method for Fault Location
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The single-end frequency domain method is a fault location technique that analyzes frequency domain characteristics of power line fault signals. Compared to traditional double-ended location methods, this approach only requires measurement devices installed at one end of the transmission line, significantly reducing equipment costs and installation complexity.
The core of this method lies in analyzing high-frequency transient signals generated during faults. When a line fault occurs, it produces transient traveling waves containing rich frequency components. By applying Fourier transform to convert these time-domain signals to the frequency domain, distinct spectral characteristics become observable. In code implementation, this typically involves using FFT (Fast Fourier Transform) algorithms to process sampled voltage or current data.
To improve location accuracy, the method employs zero-sequence current phase correction technology. Due to the unique propagation characteristics of zero-sequence currents in power systems, analyzing their phase variations allows for compensation and correction of location results. In practical implementation, this requires calculating phase differences of fault signals at different frequencies and establishing corresponding mathematical models incorporating line parameters. The algorithm might involve complex number operations for phase analysis and impedance calculations.
The main advantages of this method include: Requires only single-end measurements, easy implementation Utilizes high-frequency transient signals, strong anti-interference capability Improved location accuracy through phase correction Applicable to transmission lines at various voltage levels
In practical applications, the method must consider factors such as line parameter uncertainties, fault type influences, and sampling accuracy of measurement devices. Through optimization of algorithm parameters and adoption of more precise signal processing methods, location performance can be further enhanced. Code implementation often includes calibration routines for line parameters and adaptive filtering techniques to handle different fault conditions.
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