Simultaneous Frequency and Harmonic Magnitude Estimation Using Decoupled Modules and Multirate Sampling

Kušljević, M.D.

doi:10.1109/tim.2009.2031426

Cited by 43 publications

(28 citation statements)

References 21 publications

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“…The structure is demonstrated in Figure 1. - [7]. The reference input vector ( ) X t , net input ( ) s t , and output ( ) y t of the signal artificial neuron are:…”

Section: Detection Methods For Power Harmonics Based On Artificial Neumentioning

confidence: 99%

Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters

Zheng

2015

TELKOMNIKA

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This study investigated the adaptive detection principle based on a single artificial neuron, and constructed a method for detecting harmonics using the artificial neural network technique. Based on the established method, and by comprehensively processing the obtained harmonics data using the LabVIEW software-developing environment of the virtual instrument, the harmonic waves were detected and analyzed. Finally, the analysis of current ball crusher harmonics verified that the designed system was effective.

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“…The structure is demonstrated in Figure 1. - [7]. The reference input vector ( ) X t , net input ( ) s t , and output ( ) y t of the signal artificial neuron are:…”

Section: Detection Methods For Power Harmonics Based On Artificial Neumentioning

confidence: 99%

Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters

Zheng

2015

TELKOMNIKA

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“…Window function coefficients have been widely researched and discussed to achieve faster decaying sidelobes and guarantee a given width of the main lobe [20,21], and common Nuttall window functions are minimum 3-term, first order 4-term, third order 4-term, and minimum 4-term, with coefficients as listed in Table 1. Figure 3 shows the normalized magnitude frequency response curves of the above Nuttall window functions, and some characteristic parameters are also listed in Table 1.…”

Section: Spectral Characteristics Of Nuttall and Kaiser Windowsmentioning

confidence: 99%

A novel power harmonic analysis method based on Nuttall-Kaiser combination window double spectrum interpolated FFT algorithm

Jin

Chen

Flesch

2017

Journal of Electrical Engineering

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Harmonics pose a great threat to safe and economical operation of power grids. Therefore, it is critical to detect harmonic parameters accurately to design harmonic compensation equipment. The fast Fourier transform (FFT) is widely used for electrical popular power harmonics analysis. However, the barrier effect produced by the algorithm itself and spectrum leakage caused by asynchronous sampling often affects the harmonic analysis accuracy. This paper examines a new approach for harmonic analysis based on deducing the modifier formulas of frequency, phase angle, and amplitude, utilizing the Nuttall-Kaiser window double spectrum line interpolation method, which overcomes the shortcomings in traditional FFT harmonic calculations. The proposed approach is verified numerically and experimentally to be accurate and reliable.K e y w o r d s: power system, harmonic analysis, barrier effect, window function, FFT

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“…Similar to (9), the ith derivative of the instantaneous phase angle {Df (i) 1 (t)} can be modulated and is given by [50][51][52] …”

Section: Estimation Of Fundamental Frequencymentioning

confidence: 99%

Differentiation filter‐based technique for robust estimation of single‐phase grid voltage frequency under distorted conditions

Reza

Ciobotaru

Agelidis

2014

IET Generation, Transmission & Distribution

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This study proposes a robust estimation technique for the single-phase grid voltage fundamental frequency under grid disturbances. The technique relies on a demodulation method and a finite-impulse-response-based differentiation filter (DF). A frequency domain analysis for designing the DF is presented and is used to estimate the time-varying fundamental frequency from the instantaneous phase angle obtained by the demodulation method. The technique can reject the negative effects caused by the presence of DC offset and harmonics. The proposed DF shows less sensitivity to the presence of oscillations caused by the demodulation method when compared to a similar finite-impulse-response-based DF. Simulation and experimental results are provided to verify the performance of the proposed technique.

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Simultaneous Frequency and Harmonic Magnitude Estimation Using Decoupled Modules and Multirate Sampling

Cited by 43 publications

References 21 publications

Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters

Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters

A novel power harmonic analysis method based on Nuttall-Kaiser combination window double spectrum interpolated FFT algorithm

Differentiation filter‐based technique for robust estimation of single‐phase grid voltage frequency under distorted conditions

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