Dynamic power system harmonic detection using neural network

Conventional approaches for harmonics measurement usually employ either FFT or DFT. They, however, are susceptible to the presence of noise in the distorted power line. This paper proposes an alternative neural network based algorithm to detect the location of dynamic power harmonics in noisy environments. Sensitivity considerations are also conducted to determine the key parameters that affect the model performance efficiency in the lowest errors of testing patterns