Adaptive detection of chaotic oscillations in ferroresonance using modified extended Kalman filter

Authors : Cengiz Polat UZUNOĞLU, Mukden UĞUR

Pages : 1871-1879

Doi:10.3906/elk-1204-10

View : 12 | Download : 9

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Power quality and power disturbances have become an important factor for power systems. Chaotic ferroresonance is one of the disturbances that may cause overvoltages and overcurrents; hence, it can endanger the system reliability and continuous safe operating. A power system that generates chaotic oscillations is a dynamic system, which can be modeled with a Duffing equation. This paper introduces the application of a modified extended Kalman filter for improving the detection of chaotic behavior of power system signals. A modification algorithm is used to increase the estimation performance of the former casual extended Kalman filter. The proposed method is employed to distinguish the abnormalities from a signal contaminated with chaotic ferroresonance for promoting efficiency in power system characteristics detection.
Keywords : Ferroresonance, Duffing oscillator, chaos, extended Kalman filter