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Partial discharge impulsive noise in 735 kV electricity substations and its impacts on 2.4 GHz ZigBee communications

机译:735 kV变电站的局部放电脉冲噪声及其对2.4 GHz ZigBee通信的影响

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Installation of wireless sensor networks in power substations is becoming unavoidable for developing smart electrical network. High-voltage equipment in a power substation may produce impulsive noise that happens to be much more troublesome for wireless communications than conventional white noise. Indeed, the choice of physical layer for communication network is not easy. It fits to evaluate attentively the advantages and downsides bound to the different technologies of communication. Before deploying the network, electromagnetic environment has to be characterized and tests have to be performed in order to estimate communication performances. This paper presents an investigation of ZigBee (IEEE 802.15.4/2.4 GHz) narrowband system performance in high voltage substations. We use recorded data from the measurement campaign to identify the models. Substation noise obtained is modeled as a Middleton Class A process and a recent model (Au). By using several statistical tests, we evaluated the two models. First, the results show that Middleton Class A is not accurate for modeling partial discharges at 735 kV electricity substations. Au model is more accurate to model impulsive noise in high voltage substation compare to Middleton Class A and Gaussian models. In addition, the BER performances of the ZigBee 2.4 GHz PHY layer are studied in a substation environment. The results show that the impulsive noise influence is close to a Gaussian noise or a Rayleigh noise according to the SNR.
机译:为了发展智能电网,变电站中不可避免地要安装无线传感器网络。变电站中的高压设备可能会产生脉冲噪声,与传统的白噪声相比,脉冲噪声在无线通信中碰巧要麻烦得多。实际上,为通信网络选择物理层并不容易。它适合于集中评估与不同通信技术相关的优势和劣势。在部署网络之前,必须对电磁环境进行特征化,并且必须执行测试以估计通信性能。本文介绍了高压变电站中ZigBee(IEEE 802.15.4 / 2.4 GHz)窄带系统性能的研究。我们使用来自测量活动的记录数据来识别模型。所获得的变电站噪声被建模为Middleton A类过程和最新模型(Au)。通过使用几个统计检验,我们评估了这两个模型。首先,结果表明,对于735 kV变电站的局部放电,Middleton Class A是不准确的。与Middleton A类和高斯模型相比,Au模型对于高压变电站的脉冲噪声建模更为准确。此外,还在变电站环境中研究了ZigBee 2.4 GHz PHY层的BER性能。结果表明,根据SNR,脉冲噪声的影响接近于高斯噪声或瑞利噪声。

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