An algorithm based on the concept of adaptive notch filter (ANF) is proposed for estimation of power system frequency. The ANF is a second-order notch filter that is further furnished with a nonlinear differential equation to update the frequency. The method permits direct estimation of frequency and its rate of change for a power system signal.
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Abstract: An algorithm based on the concept of adaptive notch filter (ANF) is proposed for estimation of power system frequency. The ANF is a second-order notch filter that is further furnished with a nonlinear differential equation to update the frequency.
There are some studies on power system frequency estimation, these include leastsquare (LS) techniques and their variants [25,26]; filtering method including notch, Kalman and adaptive [29,30]; the DFTbased frequency estimation algorithms ; iterative approaches, Newton type algorithm and so on.
DOI: 10.1109/IMTC.2005.1604400 Corpus ID: 47320549; Estimation of Power System Frequency Using an Adaptive Notch Filter @article{Mojiri2005EstimationOP, title={Estimation of Power System Frequency Using an Adaptive Notch Filter}, author={Mohsen Mojiri and Masoud Karimi-Ghartemani and Alireza Bakhshai}, journal={IEEE Transactions on Instrumentation and
The ANF is a second-order notch filter that is further furnished with a nonlinear differential equation to update the frequency. The method permits direct estimation of frequency and its rate of change for a power system signal.
Photo by Alec Favale on Unsplash. GPS, radar systems, or even satellite communications; all these applications and devices have one thing in common: they work using frequency-encoded data order to decode the valuable information, all these systems use special algorithms to accurately estimate the main frequency of the digital signals they work with.
System frequency is useful for the electrical equipment in power system, and this paper proposes a method to estimate the power grid frequency based on the second order adaptive notch filter. It analyzes the filter amplitude-frequency response with different pole radius, and provides a guideline to choose reasonable pole radius. As for the filter parameter a, this paper uses a
This paper presents an adaptive filter for fast estimation of frequency and harmonic components of a power system voltage or current signal corrupted by noise with low signal to noise ratio (SNR). Unlike the conventional linear combiner (Adaline) approach, the new algorithm is based on an objective function often used in independent component analysis for
In this study, the authors propose a robust adaptive algorithm for frequency estimation in three-phase power systems when the voltage readings are corrupted by random noise sources. The proposed algorithm employs the Clarke''s transformed three-phase voltage (a complex signal) and augmented complex statistics to deal with both of balanced and
M. Mojiri, M. Karimi-Ghartemani, A. Bakhshai, Estimation of power system frequency using an adaptive notch filter. IEEE Trans. Instrumentation Meas. 56(6), 2470–2477 (2007) Article Google Scholar R. Prony, Essai experimental. J. de l''Ecole Polytechnique 2 (1795) Google Scholar
A new approach for power system frequency estimation is proposed. The approach consists of two stage adaptive notch filters. The first stage eliminates harmonics and enhances the fundamental waveform. After the down-sampled processing, the second stage produces an accurate estimate of the fundamental frequency. The notch filter is based on all
An algorithm based on the concept of adaptive notch filter (ANF) is proposed for estimation of power system harmonics in time-varying conditions. The ANF is a second-order notch filter that is Expand
Mojiri M, Karimi-Ghartemani M, Bakhshai A (2007) Estimation of power system frequency using an adaptive notch filter. Instrum Meas IEEE Trans 56(6):2470–2477 Ray PK, Bengani S, Panda G (2015) Estimation of power system frequency using a modified non-linear least square technique. In: 2015 IEEE power and energy society general meeting, pp
An algorithm based on the concept of adaptive notch filter (ANF) is proposed for estimation of power system frequency. The ANF is a second-order notch filter that is further furnished with a
Real-time frequency estimation in three-phase power systems is revisited from the state space point of view, in order to provide a unified framework for frequency tracking in both balanced and
This study presents the implementation of adaptive notch filter (ANF) as reference signal extraction for shunt active power filter (APF) in indirect current control (ICC)
Many algorithms exist for estimating power system frequency including methods based on zero-crossing detection [6], Kalman filters [7], adaptive notch filters [8], and Prony''s method [9]. Two of the more well-studied algorithms are the phase-locked loop (PLL)-based and discrete Fourier transform (DFT)-based families.
This paper presents a new approach to the fast estimation of power system frequency. The approach is adopted from the application of internal model based periodic disturbance cancellation technique in the control field. Frequency can be estimated by feeding the power system signals into a control system with an internal model incorporated in the feedback loop.
This paper presents a new technique for adaptive estimation of the frequency of unbalanced three-phase power systems using complex coefficient first-order notch filters.
Time-domain signal analysis using adaptive notch filter. M Mojiri, M Karimi-Ghartemani, A Bakhshai IEEE Transactions on Signal Processing 55 (1), 85-93, 2006. 235: 2006: Estimation of power system frequency using an adaptive notch filter. M Mojiri, M Karimi-Ghartemani, A Bakhshai. IEEE transactions on instrumentation and measurement 56 (6
Estimation of frequency and amplitude is widely used to accurately trace an unknown sinusoid. Two algorithms, the non-normalized and the normalized frequency estimators, for analysis of sinusoid using 3-dimension adaptive notch filter are presented in this paper. Both of them can achieve accurate estimates of the frequency and the amplitude as well as the tracing
[24] Dash P K, Pradhan A K and Panda G 1999 Frequency estimation of distorted power system signals using extended complex Kalman filter IEEE Trans. 14 761–6. Go to reference in article Crossref Google Scholar [25] Pei S and Tseng C 1993 A novel structure for cascade form adaptive notch filters Signal Process. 33 95–110
2. Background on adaptive IIR notch filters In this section, we will describe frequency tracking and estimation using standard adaptive IIR notch filters and illustrate some issues when we apply them in a harmonic noise environment. 2.1 Adaptive second-order IIR notch filters
In this study, the authors propose a robust adaptive algorithm for frequency estimation in three-phase power systems when the voltage readings are corrupted by random noise sources. The proposed algorithm employs the
Many algorithms exist for estimating power system frequency including methods based on zero-crossing detection [6], Kalman filters [7], adaptive notch filters [8], and Prony''s
Different techniques and algorithms have been introduced in the literature to estimate frequency, including discrete Fourier transform and its modifications [1-3], phase-locked loop [4-6], adaptive filters [7-10] and recursive state estimation-based non-linear observers [8, 11], adaptive notch filters [12-14], recursive total least-square
The use of an adaptive notch filter (ANF) is one of the most popular methods to block harmonics in a phase-locked loop (PLL). Existing ANFs suffer from drawbacks such as a low harmonic rejection capability, complex structure or instability. To improve the performance of ANF-based PLLs, an enhanced ANF (EANF) is proposed in this paper. Its structure, filtering
System frequency is useful for the electrical equipment in power system, and this paper proposes a method to estimate the power grid frequency based on the second order
Simulation results prove that the proposed variable step size adaptive IIR notch filter is an effective method to estimate and track the frequency. In this paper, a variable step size adaptive IIR notch filter is proposed to solve the problems of estimating and tracking the frequency of sinusoidal signal polluted by broad band noise. The bias removal technique is
System frequency is useful for the electrical equipment in power system, and this paper proposes a method to estimate the power grid frequency based on the second order adaptive notch filter.
An algorithm based on the concept of adaptive notch filter (ANF) is proposed for estimation of power system frequency. The ANF is a second-order notch filter that is further
Vol. 27, No. 2, May 1992 168 B.-S. Chen et al. / Adaptive notch filter by direct frequency estimation scheme we propose is cascaded by several second- order notch filters, the stability of the adaptive notch filter is still guaranteedTherefore, the stability monitoring is not required at all! where Ja is the FIM associated with the polynomial
Different techniques and algorithms have been introduced in the literature to estimate frequency, including discrete Fourier transform and its modifications [1–3], phase-locked loop [4–6], adaptive filters [7–10] and recursive state estimation-based non-linear observers [8, 11], adaptive notch filters [12–14], recursive total least
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