DFT algorithm analysis in low-cost power quality measurement systems based on a DSP processor

Szmajda, M.; Górecki, Krzysztof; Mroczka, Janusz

doi:10.1109/epqu.2007.4424081

Cited by 35 publications

(12 citation statements)

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“…This approach then uses a simple, fast, reliable and inexpensive hardware to perform the measurement. This is the case in almost all applications which rely on the DFT or the FFT and presume unchanged fundamental frequency [8], [9]. When the power grid fundamental frequency differs from the nominal value and the instrument does not adjust to the actual fundamental frequency, an error occurs.…”

Section: Introductionmentioning

confidence: 99%

“…While this alternative approach is far more advanced, it requests much more expensive and complex hardware with demanding signal processing capabilities. Many such solutions have been developed based on direct measurements in the frequency domain [11], the usage of wavelets [12], application of other specific methodologies such as transient analysis [9] and usage of thermal converters [13].…”

Section: Introductionmentioning

confidence: 99%

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A Method for Harmonic Measurement of Real Power Grid Signals with Frequency Drift using Instruments with Internally Generated Reference Frequency

Antić¹,

Mitrovic²,

Vujičić³

2012

Measurement Science Review

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The authors have recently developed a number of instruments for measuring harmonic composition of power grid signals. These instruments have a simple, predominantly digital architecture and they are based on an assumption that the frequency of the measured signals equals its nominal value (50 Hz, 60 Hz or 400 Hz). This approach has enabled the measurement of a high number of harmonics within a single period. However, the internal oscillator in the instrument generates the nominal frequency and cannot adapt to frequency changes in the input signal. This paper presents a method for the improvement of the operation of the developed instruments in cases when the fundamental frequency drifts from its nominal value as is the case with real power grid signals. Based on this method, modified versions of the harmonic measurement instruments have been developed. A comparison of the measurement error with and without the application of the proposed method is presented in the paper.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Method for Harmonic Measurement of Real Power Grid Signals with Frequency Drift using Instruments with Internally Generated Reference Frequency

Antić¹,

Mitrovic²,

Vujičić³

2012

Measurement Science Review

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“…24 The FFT is extensively applied for harmonic estimation of PQD. The input signal which is selected for analysis can be described as a sum of essential sinusoids of different frequencies.…”

Section: Fourier Transform and Its Variants' Based Methodsmentioning

confidence: 99%

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

Mishra

2019

Int Trans Electr Energ Syst

130

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Summary Power quality (PQ) studies have gained huge attention from the academics and the industry over the past three decades. The main objective of this article is to provide a comprehensive review on the state‐of‐the‐art techniques based on digital signal processing (DSP) and machine learning for automatic recognition of PQ events. It is aimed to present extensive information on the status of detection and classification of PQ events to the academics following a line of investigation on the similar domain. On the other hand, microgrid is one of the emerging architecture under the umbrella of smart grid infrastructure. In microgrid environment, the integration of renewable energy sources and distributed generators boosts the application of power electronic technology, which is the main cause of various PQ issues. Therefore, various PQ detection and classification (PQD&C) schemes for microgrid application using DSP and machine learning techniques have been reviewed in this article. Moreover, a comparative assessment on various PQD&C techniques has been carried out in details considering several criteria, such as type of data used (synthetic or real world), type of PQ disturbance studied (single or multiple), and performance in terms of accuracy (both noiseless and noisy environment). Hence, several types of research work in PQD&C area, such as the detection principles, benefits, and weaknesses of former works related to each PQD&C technique, are tinted in this manuscript. Therefore, from this review, the opportunities in PQD&C research domain in the power system can be explored further.

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“…Reduced Prony's method allowed reducing the computational complexity during estimation of Prony's model parameters, approaching the complexity level of the discrete Fourier transform (DFT) [22][23][24]. However, in measurements systems, such as in electric power quality testing, fast Fourier transform (FFT) is still commonly used, where the computational complexity of the reduced Prony's method, when compared to the DFT, is unsatisfactory.…”

Section: Origin Of the Methodsmentioning

confidence: 99%

“…However, the reduced method requires adoption or knowledge of signal components' frequencies. In the simplest case, frequency vector with constant frequency step (quantization in a frequency domain) is assumed, for which other parameters of the model are being calculated, similarly as is the case in the Fourier transform [22]. Furthermore, in the reduced Prony's method, damping coefficients of components are not calculated.…”

Section: Reduced Prony's Methodsmentioning

confidence: 99%

Prony’s Method with Reduced Sampling - Numerical Aspects

Zygarlicki¹,

Mroczka²

2014

Metrology and Measurement Systems

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This paper presents a new modification of the least-squares Prony's method with reduced sampling, which allows for a significant reduction in the number of the analysed signal samples collected per unit time. The specific combination of non-uniform sampling with Prony's method enables sampling of the analysed signals at virtually any average frequency, regardless of the Nyquist frequency, maintaining high accuracy in parameter estimation of sinusoidal signal components. This property allows using the method in measuring devices, such as for electric power quality testing equipped with low power signal processors, which in turn contributes to reducing complexity of these devices. This paper presents research on a method for selecting a sampling frequency and an analysis window length for the presented method, which provide maximum estimation accuracy for Prony's model component parameters. This paper presents simulation tests performed in terms of the proposed method application for analysis of harmonics and interharmonics in electric power signals. Furthermore, the paper provides sensitivity analysis of the method, in terms of common interferences occurring in the actual measurement systems.

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DFT algorithm analysis in low-cost power quality measurement systems based on a DSP processor

Cited by 35 publications

References 0 publications

A Method for Harmonic Measurement of Real Power Grid Signals with Frequency Drift using Instruments with Internally Generated Reference Frequency

A Method for Harmonic Measurement of Real Power Grid Signals with Frequency Drift using Instruments with Internally Generated Reference Frequency

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

Prony’s Method with Reduced Sampling - Numerical Aspects

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