Title :
Nonlinear analysis of power quality events
Author :
Saini, M.K. ; Kapoor, R. ; Mittal, N.
Author_Institution :
Electr. Eng. Dept., D.C.R. Univ. of Sci. & Technol., Sonipat, India
Abstract :
In this paper, nonlinear analysis of power signal has been done using nonlinear dynamics invariants. For nonlinear analysis, power signal has been taken as a time-series data. The proposed method explored nonlinear dynamic invariants as an analysing technique of power quality events, where nonlinear dynamic invariants include lyapunov exponent, fractal dimension and correntropy. The major idea behind dynamic invariants was the examination of PQ events. These invariants have been well tested on sag, swell, harmonics, flicker and their combined events. Lyapunov exponent, Fractal Dimension, correntropy have completely analyzed the non linearity.
Keywords :
power supply quality; time series; Lyapunov exponent; correntropy; fractal dimension; nonlinear analysis; nonlinear dynamics invariants; power quality events; power signal; time-series data; Dynamic invariants; Nonlinearity; Power Quality Event;
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
Conference_Location :
Chennai
DOI :
10.1049/cp.2011.0335