Error compensation system for optical current transformer based on wavelet analysis and neural network
Ye Liu · Advanced Technology of Electrical Engineering and Energy · 2008
Basic principles of optical current transducer based on Faraday effect and the influence to system by linear birefringence effect are introduced.By combining the good steady performance of conventional current transformer and the unsaturated characteristic of optical current transformer,an error compensation system for optical current transformer based on wavelet analysis and neural network is designed.Here wavelet analysis is used to detect power system fault moment so as to distinguish between transient and steady state and neural network is used to compensate linear birefringence effect.Experiments show that the error compensation system plays a good effect in error compensation for optical current transformer,and increases the stability and the accuracy of the optical current transformer.