FFTSES is a Fast Fourier Transform computation module designed to help SES software users automate time domain transient analyses (lightning and other transient surges) based on frequency domain results obtained from the CDEGS computation modules MALZ, HIFREQ or SPLITS of the Right-of-Way (ROW) software package.
FFTSES converts the time domain input signal (from transients such as lightning or switching surges) into the frequency domain using the Fast Fourier Transform algorithm. Computations are performed in the frequency domain using CDEGS computation modules (MALZ, HIFREQ or SPLITS). Results such as electric fields, magnetic fields, scalar potentials, touch voltages, conductor potentials (GPR) and leakage currents are converted from the frequency domain back to the time domain based on selected frequencies, using the inverse Fast Fourier Transform algorithm. The process involves the sampling of the frequency spectrum, the selection of a minimum number of frequencies to be used by the computation modules, and related reporting and plotting functions, which are automated in FFTSES.
FFTSES automates all transformation steps from time-domain to frequency domain
When a transient current, such as a lightning surge, strikes a facility (e.g. a building, substation, tower, etc.), the following safety concerns often need to be addressed:
Excessive touch and step voltages, which may be dangerous to personnel standing near a grounding system.
Excessive electromagnetic fields within the substation, which can result in equipment damage.
Forward FFT mode:
Inverse FFT mode:
The built-in time domain transient analysis and error diagnosis algorithms will warn the user of any inappropriate input data.
The "Sample Selection of Frequency Spectrum" algorithm will automatically select a subset of frequency components out of the full spectrum, reducing the computation time of a transient analysis by a few orders of magnitude compared to the conventional "full spectrum frequency analysis". Time-consuming tasks such as modulation of the surge frequency spectrum by the system response in the inverse FFT operation are done automatically, further facilitating the user’s work.
The frequency domain data determined by the MALZ and HIFREQ computation modules is quickly collected, analyzed and displayed.
Data from other computation modules and similar sources (e.g. SPLITS of ROW) can also be studied.
The program analyzes the frequency domain response, searching in particular for possible resonances in the signal, and suggests appropriate frequencies for which further analysis is necessary to improve the accuracy of the results.