摘要
在变电站内安装无线传感器网络已经成为发展智能电网的必然趋势。针对变电站中局部放电脉冲噪声对LoRa无线通信产生的干扰问题,首先分析了LoRa调制与解调原理,在该基础上建立了LoRa仿真模型,并根据在高斯白噪声下的解调信噪比验证了模型的准确性;然后建立了Middleton Class A脉冲噪声模型,通过数学统计方法检验了特定参数的Middleton Class A脉冲噪声表示实测局部放电信号的准确性;最后通过误码率曲线,分析了在高斯噪声环境和特定参数的Middleton Class A脉冲噪声环境下的LoRa通信性能差异。研究结果表明,LoRa具有优秀的抗噪声能力,即使是在信噪比为负值时仍然允许数据接收;某500 kV变电站实测局部放电信号可以表示为特定参数的Middleton Class A脉冲噪声;与高斯噪声相比,该脉冲噪声会对LoRa系统造成信噪比损失,导致系统通信性能下降。研究结果可为在变电站内部署LoRa无线通信网络提供理论参考。
The installation of wireless sensor networks in substations has become an inevitable trend in the development of smart grids.Aiming at the interference problem caused by partial discharge impulse noise in the substation to LoRa wireless communication,the principle of LoRa modulation and demodulation was first analyzed.On this basis,a LoRa simulation model was established and its accuracy was verified according to the demodulated signal-to-noise ratio under Gaussian white noise.Secondly,the Middleton Class A impulse noise model was established,and the accuracy of the measured partial discharge signal of the Middleton Class A impulse noise of specific parameters was verified by mathematical statistical methods.Finally,the error rate curve was used to analyze the difference in LoRa communication performance between a noise environment and a Middleton Class A impulse noise environment with specific parameters.The research results show that LoRa has excellent anti-noise ability,allowing data reception even when the signal-to-noise ratio is negative;the measured partial discharge signal of a 500 kV substation can be expressed as Middleton Class A impulse noise with specific parameters.Compared with Gaussian noise,the impulse noise will cause loss of signal-to-noise ratio to the LoRa system,resulting in a decrease in system communication performance.The research results can provide a theoretical reference for the deployment of LoRa wireless communication networks in substations.
作者
董博
安勃
张卫东
DONG Bo;AN Bo;ZHANG Weidong(Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense(North China Electric Power University),Baoding 071003,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China)
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2023年第2期83-90,共8页
Journal of North China Electric Power University:Natural Science Edition
基金
国家电网公司科技项目(5500-202055070A-0-0-00).
关键词
无线通信
局部放电
脉冲噪声
LoRa
误码率
wireless communication
partial discharge
impulse noise
LoRa system
BER