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Abstract
Modified Gauss–Newton Algorithm for Evaluation of Full Lightning Impulse Voltage Parameters
Highlights
Lightning overvoltage is a major cause of insulation failures of high-voltage equipment installed in high-voltage transmission and distribution systems
Some parasitic circuit components in a real circuit, i.e., parasitic capacitance and inductance, lead to voltage waveforms with some oscillation and overshoot.[3,4,5,6,7,8,9,10,11,12] it is necessary that a standard approach is defined for evaluating lightning impulse voltage waveform parameters.[1,2] The standard approach is based on determining the base curve and k-factor filtering to reduce the unwanted noise signal
An efficient curve fitting technique based on the GN method with the damping factor varied was proposed for the evaluation of the lightning impulse voltage parameters
Summary
Lightning overvoltage is a major cause of insulation failures of high-voltage equipment installed in high-voltage transmission and distribution systems. It is necessary to perform lightning impulse voltage tests on high-voltage equipment to confirm its insulation performance. Some parasitic circuit components in a real circuit, i.e., parasitic capacitance and inductance, lead to voltage waveforms with some oscillation and overshoot.[3,4,5,6,7,8,9,10,11,12] it is necessary that a standard approach is defined for evaluating lightning impulse voltage waveform parameters.[1,2] The standard approach is based on determining the base curve and k-factor filtering to reduce the unwanted noise signal. The standard recommends nonlinear regression [Levenberg–Marquardt (LM) algorithm] to determine the base curve to evaluate the waveform parameters. The proposed method shows reasonably high accuracy and noise immunity comparable to those of the standard recommended method but has a shorter computation time due to the lower complexity of the calculation
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