摘要
随着智能电网规模的扩大,大量的电流互感器被用于智能电网的状态监测。特别是在低压配电网中,经济成本促使了大量的铁磁式电流互感器被使用。当故障电流流经铁磁式电流互感器时,磁滞特性将导致互感器的二次侧电流失真,进而导致保护装置误动作。因此,提高电流互感器在故障电流情况下的准确度是必要的。基于小波变换、人工神经网络以及模糊集理论对故障电流对电流互感器的影响进行了研究和分析,实现了对二次侧失真电流的校正,并将所提的方法在MATLAB和可编程逻辑器件FPGA中进行实验,实验结果表明该方法对铁磁互感器二次侧失真电流的校正是有效的。
With the expansion of the smart grid,a large number of current transformers are used for state monitoring of the smart grid.Especially in low-voltage distribution networks,economic costs have prompted the use of a large number of ferromagnetic current transformers.When the fault current flows through the ferromagnetic current transformer,the hysteresis characteristic will cause the secondary side current distortion of the transformer,which may cause the protection device to malfunction.Therefore,it is necessary to improve the accuracy of the current transformer in the case of fault current.Based on wavelet transform,artificial neural network and fuzzy set theory,the influence of fault current on current transformer is studied and analyzed,and the correction of secondary side distortion current is realized.The proposed method is in MATLAB and programmable logic.Experiments were carried out in the device FPGA.The experimental results show that the method is effective for correcting the distortion current of the secondary side of the ferromagnetic transformer.
作者
李建波
黄璐涵
徐军
郑天
薛良
雷婧婷
LI Jianbo;HUANG Luhan;XU Jun;ZHENG Tian;XUE Liang;LEI Jingting(State Grid Shaanxi Electric Power Research Institue,Xi’an Shaanxi 710100,China;Integrated Electronic Systems Lab Co.,Ltd.,Jinan Shandong 250100,China)
出处
《电子器件》
CAS
北大核心
2020年第4期794-799,共6页
Chinese Journal of Electron Devices
基金
国网陕西电科院计量中心2019年用电信息采集系统适应性升级改造-2017版标设修订及适应性改造项目(FWZ-ZB-GWSNDL19-02)。
关键词
低压配电网
铁磁式电流互感器
故障电流
混合算法
low voltage distribution network
ferromagnetic current transformer
fault current
hybrid algorithm
