DSP-based Power-Quality Monitoring Device

Märtens, Olev; Trampark, H.; Liimets, A.; Nobel, P.; Veskimester, A.; Jarvalt, A.

doi:10.1109/wisp.2007.4447591

Cited by 17 publications

(14 citation statements)

References 18 publications

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“…It can be seen in Table 1 that the very simple solution proposed in this paper presents considerable advantages over the highly sophisticated and expensive hardware described in [19,20], where the error in calculation of the observed quantities was no less than +0.1%. The high level of accuracy in processing AC values is preserved better than in [28], where the calculation was performed within the frequency domain at an error of 0.13%.…”

Section: Simulation Resultsmentioning

confidence: 91%

“…This type of approach is radically different from the methods described in [19,20], that are based on the use of either phase-locked loop, or filtering of the harmonics and aftersampling, or sampling of the whole signal filtering of the harmonics and post processing etc. which are more complicated than the threshold crossing technique proposed in this paper.…”

Section: Accurate Active Power Calculationmentioning

confidence: 97%

See 1 more Smart Citation

Modified formula for calculation of active power and root-mean-square value of band-limited alternating current signals

Petrovič

2012

IET Sci. Meas. Technol.

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The study proposes a practical new formula for calculation of active power and root-mean-square (RMS) value of AC signals, within twice shorter time interval, compared to other methods in standard use. The proposed method offers a significant improvement in computational efficiency over the standard algorithms for calculation, at a lower numerical error. The new concept provides simple calculation of active power by the summation of samples of instantaneous power in time domain without the need for synchronisation. The suggested algorithm was simulated and experimentally tested. The errors related to the signal processing and errors bound were investigated and provided. A processing precision of 0.005% was achieved.

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Section: Simulation Resultsmentioning

confidence: 91%

Section: Accurate Active Power Calculationmentioning

confidence: 97%

Modified formula for calculation of active power and root-mean-square value of band-limited alternating current signals

Petrovič

2012

IET Sci. Meas. Technol.

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“…As it has been defined by equation (5), the number of zero-crossings of the processed signal is evaluated by a sign-test of consecutive samples. This type of approach is radically different from the methods described in [12,13], that are based on the use of either PLL or filtering of the harmonics and after-sampling, or sampling of the whole signal filtering of the harmonics and post-processing etc., which are more complicated than the threshold crossing technique proposed in this paper.…”

Section: A Frequency Estimationmentioning

confidence: 97%

Frequency and parameter estimation of multi-sinusoidal signal

Petrović¹

2012

Measurement Science Review

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Estimating the fundamental frequency and harmonic parameters is basic for signal modeling in a power supply system. This paper presents a complexity-reduced algorithm for signal reconstruction in the time domain from irregularly spaced sampling values. Differing from the existing parameter estimation algorithms, either in power quality monitoring or in harmonic compensation, the proposed algorithm enables a simultaneous estimation of the fundamental frequency, the amplitudes and phases of harmonic waves. The reduction in complexity is achieved owing to completely new analytical and summarized expressions that enable a quick estimation at a low numerical error. It is proved that the estimation performance of the proposed algorithm can attain Cramer-Rao lower bound (CRLB) for sufficiently high signal-to-noise ratios. The proposed algorithm can be applied in signal reconstruction, spectral estimation, system identification, as well as in other important signal processing problems. The simulation and experimental results verify the effectiveness of the proposed algorithm.

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“…The instantaneous phase detection is performed, of course, on sampled signals by discretizing (24), hence what is really obtained is the sequence h½n ¼ hðt½nÞ. In general the delay d is not an integer multiple of the sampling step T s ; however an estimation of g½n can be obtained in a simple way aŝ…”

Section: Instantaneous Phase Detectionmentioning

confidence: 99%

“…There are two different strategies to achieve coherent sampling: changing the sampling frequency and resampling an already acquired signal [23]. The former can be realized using a digital Phase Locked Loop (PLL) to control the sampling clock [24]. Digital PLLs can be implemented in various ways [25][26].…”

Section: Introductionmentioning

confidence: 99%