Instantaneous Power Quality Indices Based on Single-Sideband Modulation and Wavelet Packet-Hilbert Transform

Urbina-Salas, I.; Razo-Hernández, José R.; Granados-Lieberman, David; Valtierra-Rodríguez, Martín; Torres-Fernández, José E.

doi:10.1109/tim.2017.2663560

Cited by 45 publications

(41 citation statements)

References 21 publications

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“…The proposed methodology for phasor estimation is depicted in Figure 1. The first stage consists of the estimation of both the fundamental component phasor and its frequency, where the amplitude and phase are computed by means of the analytic signal (x(t) r + ix(t) i [27]) obtained through the proposed complex FIR filter. This filter is designed from the frequency response of a reference band-pass filter as shown in Figure 2a.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…SSB modulation is an efficient amplitude modulation technique commonly used in radio communications. Yet, this technique is also employed in signal processing, whose purpose is to shift frequency components using a carrier frequency [26,27]. This modulation is based on an analytic signal.…”

Section: Single Sideband Modulationmentioning

confidence: 99%

“…where x(t) is the non-modulated signal andx(t) is the component in quadrature of x(t). This formulation is normally used as a time-invariant frequency signal [27] and, in some cases, with windows of fixed length.…”

Section: Single Sideband Modulationmentioning

confidence: 99%

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Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

et al. 2019

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Phasor measurement units (PMUs) have become powerful monitoring tools for many applications in smart grids. In order to address the different issues related to harmonics in power systems, the fundamental phasor estimator in a PMU has been extended to the harmonic phasor estimator by several researchers around the world. Yet, the development of harmonic phasor estimators is a challenge because they have to consider time-varying frequencies since the frequency deviation in the harmonic components is proportional to the harmonic order in a dynamic way. In this work, a new algorithm for harmonic phasor estimation using an instantaneous single-sideband (SSB) modulation is presented. Unlike other SSB-based approaches, its implementation in this work is based on concepts of instantaneous phase and instantaneous frequency. In general, the proposed algorithm is divided into two stages. Firstly, the estimation of the fundamental phasor is carried out by means of a complex finite impulse response (FIR) filter which provides the analytic signal used to compute the instantaneous magnitude, phase, and frequency. Secondly, a complex FIR filter bank is proposed for the estimation of the harmonic components, where the instantaneous SSB modulation technique is applied in order to center the harmonic components into specific narrow bands for each complex filter when an off-nominal frequency occurs. The validation of the proposed algorithm is carried out by means of the current standards of phasor measurement units, i.e., Std. C37.118.1-2011 and C37.118.1a-2014, which involve steady-state, dynamic, and time performance tests.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Single Sideband Modulationmentioning

confidence: 99%

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Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

et al. 2019

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“…It is worth noticing that the HT has been previously applied to the analysis of power signals, because of the capability to extract an instantaneous envelope of the signal under analysis [21]. This peculiar property is typically employed, in combination with singular value decomposition [22] or wavelet transform [23], for a nearly real-time monitoring of power quality indices. In [24], HT is applied to the autocorrelation of the acquired power signal to design an innovative P-class PMU for protection applications.…”

Section: Introductionmentioning

confidence: 99%

Reduced Leakage Synchrophasor Estimation: Hilbert Transform Plus Interpolated DFT

Frigo

Derviškadić

Paolone

2019

IEEE Trans. Instrum. Meas.

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Synchrophasor estimation is typically performed by means of spectral analysis based on the Discrete Fourier Transform (DFT). Traditional DFT approaches, though, suffer from several uncertainty contributions due to the stationarity assumption, spectral leakage effects and the finite-grid resolution. The present paper addresses these limitations, by proposing a joint application of the Hilbert Transform (HT) and the interpolated DFT (IpDFT) technique. Specifically, the HT enables the suppression of the spectral leakage generated by the negative image of the tones under analysis, whereas the IpDFT limits the effects of spectrum granularity. In order to relax the constraint in terms of measurement reporting latency, the proposed estimator can adopt a window length of 40 ms and yet provides a noticeable estimation accuracy with a worstcase Total Vector Error and Frequency Error equal to 0.02% and 4 mHz, respectively, in steady-state conditions. In this context, the paper discusses the most suitable setting of the algorithm parameters and their effect on spurious component rejection. Moreover, a thorough metrological characterization of the algorithm estimation accuracy and responsiveness with respect to the IEEE Std. C37.118.1 is carried out in order to detect the main uncertainty sources as well as possible room for enhancement. Finally, a comparison with two consolidated IpDFT approaches shows the actual performance enhancement provided by the proposed algorithm.

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“…Although many efforts have been presented in the literature for these tasks [4,6,7], there is still need of further research. On one hand, there are several problems associated with modern power systems, such as a massive proliferation of non-linear loads that generate harmonic content and a distributed generation that produces intermittent and variable power [8][9][10][11]. These require the development of both new technologies to reduce their negative impact, such as compensators, active filters, and energy storage systems, among others [9,11,12], and PQ monitoring systems that provide information about the voltage and current waveforms for further processing and analysis 60 Hz, from the original signal.…”

Section: Introductionmentioning

confidence: 99%

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

et al. 2018

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Over the past few years, power quality (PQ) monitoring has become of paramount importance for utilities and users since poor PQ generates negative consequences. In monitoring, fast detection and accurate classification of PQ disturbances (PQDs) are desirable features. In this work, a new method to detect and classify PQDs is proposed. The proposal takes advantage of the low computational resources of both a phasor measurement unit (PMU)-based signal processing scheme and the homogeneity approach. To classify the PQDs, if–then–else rules are used. To validate and test the proposal, synthetic and real signals of sags, swells, interruptions, notching, spikes, harmonics, and oscillatory transients are considered. For the generation of real signals, a PQD generator based on a power inverter is used. In the proposed method, the PMU information is directly used to classify sags, swells, and interruptions, whereas the homogeneity index is used to distinguish among the remaining PQDs. Results show that the proposal is an effective and suitable tool for PQ monitoring.

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Instantaneous Power Quality Indices Based on Single-Sideband Modulation and Wavelet Packet-Hilbert Transform

Cited by 45 publications

References 21 publications

Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

Reduced Leakage Synchrophasor Estimation: Hilbert Transform Plus Interpolated DFT

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

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