摘要
本文公开了基于变压器绕组传感器的智能通信传输模型,提供了基于变压器绕组传感器的智能通信传输模型,包括四相相移键控(QPSK)通信模型的建立、传统的正交幅度调制(QAM)通信模型、通信模型的对比。随着测试时间的变长,传感器本身会发热导致表面及其周边环境温度升高,传统的通信模型没有考虑这些影响因素,导致数据传输不稳定,通过对比研究本论文方法抗干扰能力强,能够通过传感器来稳定监测变压器绕组的性能,可及时处理变压器运行过程中有可能会产生的放电和过热故障。
An intelligent communication transmission model based on transformer winding sensors is disclosed in this paper.The intelligent communication transmission model based on transformer winding sensors,including the establishment of a four phase phase-shift keying(QPSK)communication model,the traditional orthogonal amplitude modulation(QAM)communication model and the comparison of communication models is provided.As the testing time increases,the sensor itself will generate heat,which will lead to the increase of the temperatures in surface and surrounding environment.Traditional communication models do not consider these influencing factors,which results in unstable data transmission.Through comparative research,The proposed method in this paper has strong anti-interference ability and can stably monitor the performance of transformer windings through sensors.It can timely handle possible discharge and overheating faults that may occur during transformer operation.
作者
曾嘉
覃歆然
覃剑
邓高峰
ZENG Jia;QIN Xinran;QIN Jian;DENG Gaofeng(Guangxi Power Grid Co.,Ltd,Guangxi Nanning 530023,China;Guangxi Key Laboratory of Intelligent Control and operation and Maintenance of Power Equipment,Electric Power Research Institute of Guangxi Power Grid Co.,Ltd.,Guangxi Nanning 530023,China;Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Rese.arch Center,Electric Power Research Institute of Guangxi Power Grid Co.,Ltd.,Guangxi Nanning 530023,China)
出处
《广西电力》
2023年第5期1-5,共5页
Guangxi Electric Power
关键词
变压器
绕组传感器
智能通信
传输模型
过热故障
transformer
winding sensor
intelligent communication
transmission model
overheating fault
作者简介
通讯作者:曾嘉(1990),男,广西柳州人,工程师,工学学士,从事高电压技术研究,13978088132,zenga1130@sina.com;覃歆然(1997),女,广西柳州人,助理工程师,工学硕士,从事高电压技术研究,13521018615,qinxr1997@139.com;覃剑(1977),男,广西柳州人,高级工程师,工学学士,从事高电压技术研究,15878190933,12050424@qq.com。
