Dynamics assessment of voltage flicker

In this paper, short term voltage flicker indices, P_st and Deltardquo V₁₀, recorded at an AC electric arc furnace (EAF) are analyzed by using non-linearity techniques. A fractal dimension based method is used, in which, the Hurst exponent provides the fractal dimension information. It is shown that voltage flicker is fractal. The application of Lyapunov exponent for chaos identification and, using the obtained fractal dimension, the construction of the phase space are described. Voltage flicker recurrence plot and recurrence quantification analysis results are compared with those from a chaos system. The possible chaotic behavior and maximum predictable time scale of the observed time series are investigated.