Further Generalization of the Low-Frequency True-RMS Instrument

Pjevalica, V.; Vujičić, Vladimir

doi:10.1109/tim.2009.2030874

Cited by 24 publications

(14 citation statements)

References 7 publications

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“…The only requirement in this regard is that dithered base functions samples in memory are at least of 2 bits higher resolution than the resolution of the first A/D converter [11]. A block diagram of the described circuit is shown in Fig.…”

Section: Stochastic Digital Measurement Methods -Sdmmmentioning

confidence: 99%

“…4 The complete derivation of formula for SDMM method measurement uncertainty is presented in [11]. For this proposal only one part of that derivation is of interest, the part dealing with measurement uncertainty of harmonics measurement using SDMM in case when input signal samples and samples of base function are of different resolution.…”

Section: Instrument Structure and Simulated Signalsmentioning

confidence: 99%

“…where N is number of samples in measurement interval (t 2 − t 1 ), while the stochastic variance σ s is determined by the quantum of applied A/D converters (Δ) and the norm of the two internal signals [11]:…”

Section: Instrument Structure and Simulated Signalsmentioning

confidence: 99%

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Grid fundamental harmonic measurement in presence of Gaussian frequency deviation using 2-bit flash A/D converter

et al. 2017

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Original scientific paper The paper proposes a novel approach to the measurement of the power grid voltage and/or current fundamental harmonic, using stochastic digital measurement method (SDMM) and 2-bit flash A/D converters. The power grid frequency variation in the European interconnection has been found as Gaussian. The influence of the frequency disturbance on the results of fundamental harmonic measurements is examined in detail. As theoretical analyses are extremely complex due to a high nonlinearity and stochastic nature of the problem, simulation analysis is employed as the primary method for fast testing and confirmation of the paper hypothesis. The results of realistic simulations give the measurement uncertainties below 0,01 % and 0,013 %, for the measured grid voltage and current, respectively. Experimental validation has been carried out by comparison of the commercial instrument measurements and the measurements of SDMM based prototype instrument. It has been found that results are in accordance. Keywords: digital measurements; fundamental harmonic measurement; power grid; simulation; stochastic processes Mjerenje osnovnog harmonika u mreži uz prisustvo Gaussovog poremećaja frekvencije uporabom 2-bitnih flash A/D konverteraIzvorni znanstveni članak U radu se predlaže novi pristup mjerenju osnovnog harmonika mrežnog napona i/ili struje, pomoću stohastičke digitalne mjerne metode i 2-bitnih flash A/D konvertera. Utvrđeno je da je varijacija mrežne frekvencije u Europskoj interkonekciji Gaussova. Podrobno je ispitan utjecaj poremećaja frekvencije na rezultate mjerenja osnovnog harmonika. Kako su teorijske analize iznimno složene zbog velike nelinearnosti i stohastičke prirode problema, simulacijska analiza se koristi kao primarna metoda za brzo ispitivanje i potvrđivanje hipoteze rada. Rezultati realističnih simulacija daju mjerne nesigurnosti ispod 0,01 % i 0,013 % za mjerene mrežne napone i struje, respektivno. Provedena je eksperimentalna provjera, usporedbom mjerenja komercijalnog instrumenta i mjerenja prototipa instrumenta koji se temelji na SDMM metodi. Utvrđeno je da su rezultati u skladu.

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Section: Stochastic Digital Measurement Methods -Sdmmmentioning

confidence: 99%

Section: Instrument Structure and Simulated Signalsmentioning

confidence: 99%

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Grid fundamental harmonic measurement in presence of Gaussian frequency deviation using 2-bit flash A/D converter

et al. 2017

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“…Stochastic additive A/D converter with two noise generators [6] (abbreviated SAADC 2G) is oversampling measurement method. With this method, we digitally measure average value of the integral of the two analog input signals product.…”

Section: Stochastic Processor Of Orthogonal Transformsmentioning

confidence: 99%

“…In (6), k is the particular sample of Hartley Transform, yn is particular signal sample, n is counter variable and N is overall number of samples that represents signal. If sampling frequency is at least one order of magnitude higher than the frequency of measured signal, we are talking about oversampling method.…”

mentioning

confidence: 99%

Acceleration of Digital Stochastic Measurement Simulation Based on Concurrent Programming

Pjevalica¹,

Pjevalica²,

Kaštelan³

et al. 2018

ElAEE

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A/D conversion methods improved through stochastic signal superposition, along with oversampling techniques present significant research direction in the area of signal processing and measurement. Concerning that accuracy of those methods rises with length of measurement interval, i.e. integration time; it turns them appropriate for calculation / measurement of the orthogonal transformations. Simulation and validation of above mentioned digital stochastic methods, requires significant computing resource allocation. Long measurement intervals assigned for processing of numerous arithmetic operations over oversampled input signals presents the most demanding computing requirements. In this paper, a novel digital stochastic measurement simulation approach is presented and validated. Simulation approach is based on Concurrent Programming technique. General orthogonal transformations are analysed through the stochastic measurement technique. As a reference test case Discrete Fourier Transform is calculated over several periodic input signals converted by the stochastic A/D converter. Time required for a simulation test case accomplishment is analysed as a main performance metric. Final results have proven that Concurrent Programming technique improves simulation speed, without other consequences on measurement performance.

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Stochastic Smart Grid Meter for Industry 4.0—From an Idea to the Practical Prototype

Urekar¹,

Kozarov²

2022

Springer Proceedings in Mathematics &Amp; Statistics

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Further Generalization of the Low-Frequency True-RMS Instrument

Cited by 24 publications

References 7 publications

Grid fundamental harmonic measurement in presence of Gaussian frequency deviation using 2-bit flash A/D converter

Grid fundamental harmonic measurement in presence of Gaussian frequency deviation using 2-bit flash A/D converter

Acceleration of Digital Stochastic Measurement Simulation Based on Concurrent Programming

Stochastic Smart Grid Meter for Industry 4.0—From an Idea to the Practical Prototype

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