Amplitude and frequency detection of power system signals with chaotic distortions using independent component analysis

• The independent component analysis (ICA) method is proposed.
• Forced Duffing Oscillator can be used for chaotic noise.
• ICA estimates distorted power system signals with chaotic oscillations.
• Increasing estimation performance will increase power quality.

In this paper independent component analysis (ICA) method for amplitude and frequency estimation of highly distorted power system signals is presented. In a power system the accuracy of amplitude and frequency detection is strictly related to distortion strength of the system signal. Distorted system signal may contain chaotic (ferroresonance) and non-chaotic (white, pulse, harmonic etc.) noise. In this study, chaotic distortions are used to contaminate system signal, which is the worst case scenario for a power system. The proposed method is employed to eliminate the noise and hence to improve the efficiency of the estimation. To simulate chaotic distortions Duffing Oscillator solutions are used. Computer simulations have been carried out for the performance analysis of the proposed method and the comparison of the results of the proposed method with the conventional filters are presented.