“…generation) and demand (i.e. loads) [6][7][8][9][10][11][12][13][14]. The larger variations of fundamental frequency are much more likely to occur, when the loads are supplied by a generator isolated from the grid [13].…”
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.
“…generation) and demand (i.e. loads) [6][7][8][9][10][11][12][13][14]. The larger variations of fundamental frequency are much more likely to occur, when the loads are supplied by a generator isolated from the grid [13].…”
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.
“…Therefore, many international grid codes are introduced, where a range of frequency variation is specified within which the DG should stay connected with the grid while ensuring stable operation [25], [26]. The International Electrotechnical Commission (IEC) standard 61727 describes that a photovoltaic system has to be disconnected from the grid when the grid frequency exceeds ±1 Hz of the rated frequency [27], [28]. In the case of a microgrid, the frequency is required to be monitored and controlled to maintain the active power balance [28].…”
mentioning
confidence: 99%
“…The International Electrotechnical Commission (IEC) standard 61727 describes that a photovoltaic system has to be disconnected from the grid when the grid frequency exceeds ±1 Hz of the rated frequency [27], [28]. In the case of a microgrid, the frequency is required to be monitored and controlled to maintain the active power balance [28]. The frequency control of a microgrid is also important during the transitions between grid-connected and islanding modes, where a high deviation of frequency can occur.…”
mentioning
confidence: 99%
“…The frequency control of a microgrid is also important during the transitions between grid-connected and islanding modes, where a high deviation of frequency can occur. The IEEE standard 1547 defines that the frequency of a microgrid cannot differ from the grid frequency more than 0.1% during the reconnection with the grid [28], [29]. The frequency estimation by using the SMs demands sparing some of the processing power and memory at the software implementation level, because they will be installed once over their lifespan [14]- [16].…”
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confidence: 99%
“…The grid voltage fundamental frequency can be estimated using various DSP techniques such as the discrete-Fourier transform (DFT) [30]- [34], Kalman filter (KF) [35], [36], zero crossing detection (ZCD) [37], [38], phase-locked loop (PLL) [39]- [42], frequency-locked loop (FLL) [43]- [45], finite-impulse-response (FIR) filter [28], [46]- [48], least-squares (LS) [49], [50], and Newton-type algorithm (NTA) [51]- [56]. The DFT is the basic technique for spectral analysis of a stationary waveform but shows spectral leakage property during nonperiodic cases [30], [31].…”
This paper proposes a single-phase grid voltage fundamental frequency estimation technique for smart meters. The technique relies on a nonlinear Newton-type algorithm and a recursive differentiation filter (NTA-DF). It can reject the negative effects caused by dc offset, harmonics, notches, and spikes. When compared with a NTA technique based on least-squares (NTA-LS), the proposed one reduces matrix dimensions, avoids matrix inversion, and is computationally efficient, thus requiring less hardware and associated cost for real-time implementation. Moreover, unlike the NTA-LS technique, the NTA-DF shows less sensitivity to the presence of harmonics. Simulation and experimental results are presented to verify the performance of the proposed technique.
IndexTerms-Frequency estimation, Newton-type algorithm (NTA), single-phase voltage system, smart grid, smart meters (SMs).
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