Juan Carlos Quispe, John Morales, Eduardo Orduna, et al. Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological filter[J]. Protection and Control of Modern Power Systems, 2023, 8(2): 1-14.
DOI:
Juan Carlos Quispe, John Morales, Eduardo Orduna, et al. Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological filter[J]. Protection and Control of Modern Power Systems, 2023, 8(2): 1-14.DOI: 10.1186/s41601-023-00294-x.
Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological filter
The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system. Therefore
this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis. The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index. Consequently
wide spectra of signals in the time-frequency domain are obtained. The performance of this method is verified on an electrical power system modeled in ATP-Draw
where simulation and test signals are developed for different locations
fault resistances
inception angles
high frequency noises
sampling frequencies
types of faults
and shapes of the structuring element. The results show the characteristics of the fault such as the traveling wave frequency
location
and starting time.
Abstract
The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system. Therefore
this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis. The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index. Consequently
wide spectra of signals in the time–frequency domain are obtained. The performance of this method is verified on an electrical power system modeled in ATP-Draw
where simulation and test signals are developed for different locations
fault resistances
inception angles
high frequency noises
sampling frequencies
types of faults
and shapes of the structuring element. The results show the characteristics of the fault such as the traveling wave frequency