Frequency domain approach for statistical switching studies: Computational efficiency and effect of network equivalents Article uri icon

abstract

  • In this paper, we explore the use of a frequency domain (FD) modeling and simulation approach to perform statistical studies of switching overvoltages (SSSOV) due to open-ended line energization, as an alternative to the use of time-domain (TD) EMTP-type tools. We analyze the potential advantages of such an approach in terms of accuracy and computational efficiency. We also utilize the FD approach to evaluate the effect of the type of network equivalent used when performing SSSOVs on open-ended lines as part of a network. Our results indicate that applying an FD method for SSSOVs requires substantially lower computer time than an EMTP-type tool to achieve accurate and meaningful statistical results. In addition, the use of constant-lumped-parameter Thevenin equivalents to approximate the rest of the network can result in a considerable deviation from the actual statistical switching behavior of a transmission system. Therefore, equivalents that preserve the rest of the grid%27s detailed frequency-dependent characteristics are critical for accurate statistical switching overvoltage studies. © 2021
  • In this paper, we explore the use of a frequency domain (FD) modeling and simulation approach to perform statistical studies of switching overvoltages (SSSOV) due to open-ended line energization, as an alternative to the use of time-domain (TD) EMTP-type tools. We analyze the potential advantages of such an approach in terms of accuracy and computational efficiency. We also utilize the FD approach to evaluate the effect of the type of network equivalent used when performing SSSOVs on open-ended lines as part of a network. Our results indicate that applying an FD method for SSSOVs requires substantially lower computer time than an EMTP-type tool to achieve accurate and meaningful statistical results. In addition, the use of constant-lumped-parameter Thevenin equivalents to approximate the rest of the network can result in a considerable deviation from the actual statistical switching behavior of a transmission system. Therefore, equivalents that preserve the rest of the grid's detailed frequency-dependent characteristics are critical for accurate statistical switching overvoltage studies. © 2021

publication date

  • 2021-01-01