A Simple Recursive Algorithm for Frequency Estimation

Kušljević, M.D.

doi:10.1109/tim.2003.822707

Cited by 70 publications

(24 citation statements)

References 12 publications

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“…In this paper, the simple algorithm [7] with better accuracy, for student education is prescribed. An iterative procedure for frequency estimation and filter adjusting is presented in this student exercise.…”

Section: Frequency Estimationmentioning

confidence: 99%

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A virtual laboratory for teaching frequency estimation techniques

Tomić

Slankamenac

Kušljević³

et al. 2012

2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC)

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Recent developments in virtual instrument technologies, remote measurement, distributed systems, and interactive educational environments have greatly changed the traditional approach to teaching and practical experimentation at any educational level, from technical high schools and undergraduate academic courses, to continuous education and training in the industry. This paper presents the education methods and practical realization of a virtual laboratory for students' education in the field of frequency estimation techniques. A virtual instrument has been developed using LabVIEW software package and the method based on measurement of three consecutive sample signals was applied to measure the unknown frequency of the electrical power network. Unwanted noise is eliminated from the useful signal using adaptive filtering, and greater accuracy of measurements is achieved. Students have the opportunity to change the speed of data acquisition and number of samples, in the aim of testing the proposed measurement method. Remote laboratory is developed in LabVIEW software package and the measurement data are sent to the Internet over TCP/IP protocol. The system consists of a server with measurement equipment and one or more clients which have independent access to the measurement data. The realized virtual instrument was used to do measurements in a real power system network.

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Section: Frequency Estimationmentioning

confidence: 99%

“…ALGORITHMS The algorithm for frequency estimation from [7] has been used and will be shortly described. The structure is consisted of two modules: the first one for an adaptive filtering of input signal and the second one for frequency estimation.…”

Section: Mathematical Models and Proposedmentioning

confidence: 99%

A virtual laboratory for teaching frequency estimation techniques

Tomić

Slankamenac

Kušljević³

et al. 2012

2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC)

View full text Add to dashboard Cite

show abstract

“…Several methods for frequency estimation have been reported in the technical literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Zero-crossingbased techniques are the most widely used methods for frequency estimation [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…However, its performance is prone to error in unbalanced conditions. A variety of approaches, including adaptive neural networks (ANN) [8,9], least square techniques [10][11][12], Newton-type algorithms [13], Prony estimation [14], DFTs [15][16][17], and the maximum likelihood method [18,19] have also been used to estimate the frequency of power system signals.…”

Section: Introductionmentioning

confidence: 99%

Fundamental Frequency Estimation in Power Systems Using Complex Prony Analysis

Nam¹,

Lee²,

Kang³

et al. 2011

Journal of Electrical Engineering and Technology

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-A new algorithm for estimating the fundamental frequency of power system signals is presented. The proposed algorithm consists of two stages: orthogonal decomposition and a complex Prony analysis. First, the input signal is decomposed into two orthogonal components using cosine and sine filters, and a variable window is adapted to enhance the performance of eliminating harmonics. Then a complex Prony analysis that is proposed in this paper is used to estimate the fundamental frequency by approximating the cosine-filtered and sine-filtered signals simultaneously. To evaluate the performance of the algorithm, amplitude modulation and harmonic tests were performed using simulated test signals. The performance of the algorithm was also assessed for dynamic conditions on a singlemachine power system. The Electromagnetic Transients Program was used to generate voltage signals for a load increase and single phase-to-ground faults. The performance evaluation showed that the proposed algorithm accurately estimated the fundamental frequency of power system signals in the presence of amplitude modulation and harmonics.

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“…An approach to the design of a digital algorithm for local system frequency estimation is presented in Ref. [9]. The algorithm is derived using the maximum likelihood method.…”

mentioning

confidence: 99%

A Simple and Reliable Algorithm for Frequency Estimation with Application to Power Systems Frequency Relaying

Soliman

2007

2007 Large Engineering Systems Conference on Power Engineering

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This paper presents a novel and reliable technique for estimation of a distorted signal frequency. Unlike the other available techniques, the proposed algorithm does not need linearization to the signal voltage and or current. The proposed technique uses the samples available for the voltage and or current signal in the relay location to estimate the signal fundamental frequency. The frequency of the signal is calculated from the arccosine of two successive samples for a pure sinusoidal. The least errors square algorithm is used to minimize the signal errors, noise and harmonics. The frequency is estimated from a closed formula that easily can be programmed on the microprocessor based frequency estimation. Different simulated examples are offered within the text and different critical parameters that affect the performance of the proposed algorithm are discussed.

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A Simple Recursive Algorithm for Frequency Estimation

Cited by 70 publications

References 12 publications

A virtual laboratory for teaching frequency estimation techniques

A virtual laboratory for teaching frequency estimation techniques

Fundamental Frequency Estimation in Power Systems Using Complex Prony Analysis

A Simple and Reliable Algorithm for Frequency Estimation with Application to Power Systems Frequency Relaying

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