2020
DOI: 10.3390/s20216361
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PQ and Harmonic Assessment Issues on Low-Cost Smart Metering Platforms: A Case Study

Abstract: This paper presents a feasibility study on how to implement power quality (PQ) metrics in a low-cost smart metering platform. The study is aimed at verifying the possibility of implementing PQ monitoring in distribution networks without replacing existing smart metering devices or adding new modules for PQ measurements, thus zeroing the installation costs. To this aim, an electronic board, currently used for remote energy metering, was chosen as a case study, specifically the STCOMET platform. Starting from th… Show more

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Cited by 22 publications
(10 citation statements)
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“…This means that the minimum sampling frequency must be greater than 181.25 kHz, 243.75 kHz and 975 kHz, respectively. To keep the computational cost low and to reduce the calculation time, the complex fast Fourier transform (CFFT) algorithm is applied to the acquired samples [31]. The use of this algorithm allows the calculation of real and imaginary part of each spectrum component.…”
Section: Measurement Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…This means that the minimum sampling frequency must be greater than 181.25 kHz, 243.75 kHz and 975 kHz, respectively. To keep the computational cost low and to reduce the calculation time, the complex fast Fourier transform (CFFT) algorithm is applied to the acquired samples [31]. The use of this algorithm allows the calculation of real and imaginary part of each spectrum component.…”
Section: Measurement Methodologymentioning
confidence: 99%
“…In this way, it is possible to determine both amplitude and phase of each spectral component. The FFT computation within impedance calculation time was experimentally measured by the procedure adopted in [31]: the overall time needed is 9.4 ms. This result shows that the time variance of the impedance value can be recorded approximately in half a period of the mains voltage.…”
Section: Measurement Methodologymentioning
confidence: 99%
“…Moreover, the errors produced by sensors, affect the accuracy of the perturbation identification and significantly limit the power quality improvement in electric networks [ 22 , 23 , 24 ]. It is worth noting that this issue has not been fully addressed in the literature [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…All these undesirable effects cause huge economic losses [ 3 ] and require an effective power quality analysis in the grid and affected facilities. Smart sensors proposals are rapidly increasing in response to these new requirements [ 4 , 5 , 6 , 7 , 8 , 9 ]. Although the first applications were almost exclusively limited to billing, they now include new features related to power quality detection and have a common denominator: they require high processing speed to handle large computer data in a shorter time.…”
Section: Introductionmentioning
confidence: 99%