Title :
Locating Switched Capacitor Using Wavelet Transform and Hybrid Principal Component Analysis Network
Author :
Hong, Ying-Yi ; Chen, Bo-Yuan
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li
fDate :
4/1/2007 12:00:00 AM
Abstract :
The transient caused by capacitor switching is one of the important power quality (PQ) problems. In particular, switching on the capacitor may result in an overvoltage to a sensitive load, serious disturbance to an adjustable-speed drive or a resonance in the system. This paper presents a new method to locate the positions of the transient sources with the help of the PQ monitoring system. The discrete wavelet transform is used to extract the features of transients caused by capacitor switching. The fuzzy-c-means is then used to determine the placement of PQ measurement facilities. The signal energies attained by wavelet coefficients serve as inputs to the hybrid principal component analysis neural network for locating the transient sources. The simulation results obtained from an 18-bus distribution system show the applicability of the proposed method
Keywords :
capacitor switching; discrete wavelet transforms; distribution networks; fault diagnosis; fuzzy set theory; overvoltage; power supply quality; principal component analysis; transient analysis; variable speed drives; adjustable speed drives; capacitor switching; discrete wavelet transform; distribution system; fuzzy c-means; hybrid principal component analysis network; load sensitivity; overvoltage; power quality monitoring systems; wavelet coefficients; Discrete wavelet transforms; Monitoring; Power quality; Principal component analysis; Resonance; Switched capacitor networks; Variable speed drives; Voltage control; Wavelet analysis; Wavelet transforms; Capacitor switching; fuzzy-c-means; locating; principal component analysis neural network; wavelet transform;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2007.893435