Intelligent neural network based dynamic power system harmonic analysis

Nowadays, power harmonic problems have attracted more attention in power systems. Traditional technical tools for harmonic distortion analysis using either FFT or DFT are, however, susceptible to the presence of noise and sub-harmonics in the distorted signals. In this paper, an alternative method using back propagation neural network algorithm has achieved satisfactory results for dynamic harmonic distortion analysis in noisy environments. Sensitivity considerations are also conducted to determine the key factors affecting the performance efficiency of the proposed model to reach the lowest errors of testing patterns.