Frequency Adaptive Least-Squares-Kalman Technique for Real-Time Voltage Envelope and Flicker Estimation

Sadinezhad, Iman; Agelidis, Vassilios G.

doi:10.1109/tie.2011.2159950

Cited by 81 publications

(32 citation statements)

References 37 publications

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“…The frequency estimation using (19) requires a window size, T w = N·T s , of N samples of the phase angle. By replacing n with n − 1, (19) can also be written as Dv(n−1) = 4 N 2 T s c 1 (n−1)+c 1 (n−2) +···+c 1 (n−N /2) − c 1 (n−N /2−1)+c 1 (n−N /2−2)+···+c 1 (n−N)…”

Section: Frequency Estimation Using Dfmentioning

confidence: 99%

“…By replacing n with n − 1, (19) can also be written as Dv(n−1) = 4 N 2 T s c 1 (n−1)+c 1 (n−2) +···+c 1 (n−N /2) − c 1 (n−N /2−1)+c 1 (n−N /2−2)+···+c 1 (n−N)…”

Section: Frequency Estimation Using Dfmentioning

confidence: 99%

“…Various PQ events based on the grid voltage amplitude fluctuations such as the voltage sag, swell, interruptions and flicker are also defined in the IEEE Standards 1159 and 1453 [10,11]. Therefore for estimating the grid voltage fundamental amplitude and frequency accurately under distorted conditions, a robust and computationally efficient technique is required, which will contribute to the economical realisation of the smart grid vision for PMUs [12][13][14][15][16], smart metres [17], load shedding and restoration functions [18], PQ analysis [19] and grid-connected power converters [20].…”

Section: Introductionmentioning

confidence: 99%

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Robust technique for accurate estimation of single‐phase grid voltage fundamental frequency and amplitude

Reza

Ciobotaru

Agelidis

2015

IET Generation, Transmission & Distribution

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This study proposes a robust technique for accurate estimation of single-phase grid voltage fundamental amplitude and frequency. The technique relies on a quadrature signal generator (QSG) based on a fixed frequency tuned second-order generalised integrator (SOGI) and an infinite-impulse-response differentiation filter (DF). The DF is used to estimate the fundamental frequency from the instantaneous phase angle obtained from the generated orthogonal voltage waveforms. The estimation technique is robust and offers an easy tuning process as there is no interdependent loop between the orthogonal voltage system and the frequency estimation. Additionally, the technique is computationally efficient and can also reject the negative effects caused by the direct current offset and harmonics. Furthermore, the frequency estimation is less sensitive to harmonics when compared with a similar technique relying on the QSG based on the fixed frequency tuned SOGI and leastsquares method. Simulation and real-time experimental results are provided to validate the robustness of the proposed technique.

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Section: Frequency Estimation Using Dfmentioning

confidence: 99%

“…By replacing n with n − 1, (19) can also be written as Dv(n−1) = 4 N 2 T s c 1 (n−1)+c 1 (n−2) +···+c 1 (n−N /2) − c 1 (n−N /2−1)+c 1 (n−N /2−2)+···+c 1 (n−N)…”

Section: Frequency Estimation Using Dfmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust technique for accurate estimation of single‐phase grid voltage fundamental frequency and amplitude

Reza

Ciobotaru

Agelidis

2015

IET Generation, Transmission & Distribution

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“…It is well known that the RLS algorithm is used to minimize the least square cost function in each sampling period whenever a data is updated. An error cost function for (14) is defined as [21], [22]:…”

Section: Estimation Of Esr In the Dc-link Capacitormentioning

confidence: 99%

Estimation of ESR in the DC-Link Capacitors of AC Motor Drive Systems with a Front-End Diode Rectifier

Nguyễn¹,

Le²,

Lee³

2015

Journal of Power Electronics

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In this paper, a new method for the online estimation of equivalent series resistances (ESR) of the DC-link capacitors in induction machine (IM) drive systems with a front-end diode rectifier is proposed, where the ESR estimation is conducted during the regenerative operating mode of the induction machine. In the first place, a regulated AC current component is injected into the q-axis current component of the induction machine, which induces the current and voltage ripple components in the DC-link. By processing these AC signals through digital filters, the ESR can be estimated by a recursive least squares (RLS) algorithm. To acquire the AC voltage across the ESR, the DC-link voltage needs to be measured at a double sampling frequency. In addition, the ESR current is simply reconstructed from the stator currents and switching states of the inverter. Experimental results have shown that the estimation error of the ESR is about 1.2%, which is quite acceptable for condition monitoring of the capacitor.

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“…The processing performed by this system's signal chain is complicated [4] to such an extent that it is not easy to obtain output values only analytically. Bibliography concerning this subject contains numerous works that describe the operation and features of flickermeter [5][6][7][8][9][10]. In most of them, authors reconstruct flickermeter's characteristics for the case of amplitude modulation (AM) [3,11,12], input voltage with interharmonic component [12][13][14][15][16][17][18][19][20][21], or step changes of input voltage phase [12,[22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Basic Characteristics of IEC Flickermeter Processing

Majchrzak

Wiczyński

2012

Modelling and Simulation in Engineering

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Flickermeter is a common name for a system that measures the obnoxiousness of flicker caused by voltage fluctuations. The output of flickermeter is a value of short-term flicker severity indicator, P st . This paper presents the results of the numerical simulations that reconstruct the processing of flickermeter in frequency domain. With the use of standard test signals, the characteristics of flickermeter were determined for the case of amplitude modulation of input signal, frequency modulation of input signal, and for input signal with interharmonic component. For the needs of simulative research, elements of standard IEC flickermeter signal chain as well as test signal source and tools for acquisition, archiving, and presentation of the obtained results were modeled. The results were presented with a set of charts, and the specific fragments of the charts were pointed out and commented on. Some examples of the influence of input signal's bandwidth limitation on the flickermeter measurement result were presented for the case of AM and FM modulation. In addition, the diagrams that enable the evaluation of flickermeter's linearity were also presented.

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Frequency Adaptive Least-Squares-Kalman Technique for Real-Time Voltage Envelope and Flicker Estimation

Cited by 81 publications

References 37 publications

Robust technique for accurate estimation of single‐phase grid voltage fundamental frequency and amplitude

Robust technique for accurate estimation of single‐phase grid voltage fundamental frequency and amplitude

Estimation of ESR in the DC-Link Capacitors of AC Motor Drive Systems with a Front-End Diode Rectifier

Basic Characteristics of IEC Flickermeter Processing

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