On the suitability of compressive sampling for the measurement of electrical power quality

F. Bonavolontà, M. D’Arco, G. Ianniello, A. Liccardo, R. S. L. Moriello, L. Ferrigno, M. Laracca, G. Miele
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引用次数: 21

Abstract

The deeper interconnection and the increasing presence of active devices on the electrical networks is raising many issues concerning with the monitoring of Power Quality phenomena. Voltage parameters related to the supply of electricity and current parameters related to the working of electrical apparatuses have to be monitored as accurately as possible. To this aim specific international standards impose strict measurement methods and complex measurement instrument architectures, usually based on the computation of real time Fast Fourier Transforms, to be adopted for the purpose. In particular, considering poly-phase systems, four currents and four voltages have to be detected, synchronized, measured and analyzed with good accuracy and spectral resolution. This imposes to the measurement the calculation of eight FFTs in a very short time. These requirements conflicts with the need of cost-effective measurement instruments required by spread and distributed monitoring systems in many points of the electrical plant. To face this issues this paper proposes the study and the tuning of compressive sampling (CS) techniques capable of assuring reliable reconstruction of the signal of interest from very low acquired samples. In particular, to make the CS use more feasible, the authors have also exploited some peculiarities of the CS approach in order to reduce the computational burden usually associated with the mere application of its acquisition and reconstruction protocol. Preliminary results confirm the applicability of the proposed solution.
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论压缩取样在电能质量测量中的适用性
随着电网互联程度的加深和有源设备的增多,对电能质量现象的监测提出了许多问题。与电力供应有关的电压参数和与电气设备工作有关的电流参数必须尽可能准确地监测。为此,特定的国际标准规定了严格的测量方法和复杂的测量仪器架构,通常基于实时快速傅里叶变换的计算。特别是考虑到多相系统,必须以良好的精度和光谱分辨率检测、同步、测量和分析四种电流和四种电压。这就要求在很短的时间内计算8个fft的测量。这些要求与发电厂许多点的分散和分布式监测系统所需的具有成本效益的测量仪器的需求相冲突。为了解决这个问题,本文提出了压缩采样(CS)技术的研究和调整,能够确保从非常低的采集样本中可靠地重建感兴趣的信号。特别是,为了使CS的使用更加可行,作者还利用了CS方法的一些特性,以减少通常与仅应用其获取和重建协议相关的计算负担。初步结果证实了所提方案的适用性。
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