基于小波分析和神经网络的光学电流互感器误差补偿系统  

Error compensation system for optical current transformer based on wavelet analysis and neural network

作　　者：刘晔[1] 陈敬后[1] 樊艳芳[2] 张侃侃[1] 陈江波[1] 束秀梅[1] 马志瀛[1] 

机构地区：[1]西安交通大学电气工程学院,陕西西安710049 [2]新疆大学电气工程学院,新疆乌鲁木齐830008

出　　处：《电工电能新技术》2008年第1期72-75,共4页Advanced Technology of Electrical Engineering and Energy

基　　金：高等学校博士点专项科研基金资助项目(20050698007)

摘　　要：介绍了基于法拉第磁光效应的光学电流互感器的基本原理及线性双折射对系统性能的影响,结合电磁式电流互感器的良好稳态性能和光学电流互感器的无饱和暂态性能,设计了一种基于小波分析和神经网络的光学电流互感器误差补偿系统。小波分析用于检测电力系统的故障时刻从而区分暂态和稳态,神经网络用于补偿光学电流互感器线性双折射效应。通过仿真实验证明:系统能够对光学电流互感器的线性双折射等误差因素进行补偿,提高了光学电流互感器的稳定性和测量结果的准确性。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.

关 键 词：光学电流互感器 线性双折射 小波分析 神经网络 数学建模 

分 类 号：TM452.94[电气工程—电器]