New technique for frequency and amplitude estimation of power system signals

Aghazadeh, Roghayeh; Lesani, Hamid; Sanaye‐Pasand, M.; Ganji, Bahram Azizollah

doi:10.1049/ip-gtd:20041255

Cited by 64 publications

(36 citation statements)

References 6 publications

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“…The related approach is extended to polyphase systems and the results reported are more accurate than the application of STFT. Another technique whose purpose is to estimate only the fundamental component is proposed in [49], where a specific method is employed to estimate the frequency of the signal and this frequency is used to update the estimation of amplitude executed by a Kalman filter. The results show that the method is robust to variation in the frequency and to the presence of harmonics, but it suffers from erroneous transient response in the estimation of amplitude when step changes in the frequency are introduced.…”

Section: State Estimationmentioning

confidence: 99%

“…Tracking capabilities Characteristics [44] frequency drift and amplitude restricted to the fundamental component [49] amplitude and phase [45] amplitude and phase susceptible to frequency variations [46] frequency applied to 3-phase systems [48] dynamic phasors and symmetric components suitable to polyphase systems and susceptible to frequency variations [50] amplitude, phase and frequency higher computational effort than related KF models…”

Section: Refmentioning

confidence: 99%

See 1 more Smart Citation

A survey of techniques applied to non-stationary waveforms in electrical power systems

Rodrigues

Silveira

Ribeiro

2010

Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010

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Section: State Estimationmentioning

confidence: 99%

Section: Refmentioning

confidence: 99%

A survey of techniques applied to non-stationary waveforms in electrical power systems

Rodrigues

Silveira

Ribeiro

2010

Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010

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“…A new signal model, which considers three consecutive points of a pure sinusoidal signal, is applied to an EKF in (Routray et al, 2002). The effect of grid voltage harmonics is considered in (Aghazadeh et al, 2005) by including two state variables per modelled signal harmonic. In this case, a fixed axes signal model is proposed.…”

Section: Application Of Kalman Filters To Electrical Power Systemsmentioning

confidence: 99%

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Pigazo¹,

Moreno²

2009

Kalman Filter Recent Advances and Applications

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“…The simplest frequency measurement is the zero-crossing method, which is adapted in [4] to reduce the errors due to interpolation at low sample rates. The final result, however, is still subject to relatively large errors up to 0.05Hz under test conditions of 0.3pu 3 rd harmonic and a 30dB Signal to Noise ratio (SNR), using a 1440Hz sample rate.…”

Section: Introductionmentioning

confidence: 99%

“…Amplitude measurements can also be made using Fourier-based algorithms, with sensible implementations available in [3]. These algorithms function at low sample rates down to 10 samples-per-cycle, and this paper presents methods for substantially decreasing the output ripple due to harmonic contamination and interpolation at such low sample rates.The simplest frequency measurement is the zero-crossing method, which is adapted in [4] to reduce the errors due to interpolation at low sample rates. The final result, however, is still subject to relatively large errors up to 0.05Hz under test conditions of 0.3pu 3 rd harmonic and a 30dB Signal to Noise ratio (SNR), using a 1440Hz sample rate.…”

mentioning

confidence: 99%

Frequency and fundamental signal measurement algorithms for distributed control and protection applications

Roscoe

Burt

McDonald

2009

IET Gener. Transm. Distrib.

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This version is available at https://strathprints.strath.ac.uk/19142/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output.This paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission and Distribution (GTD) and is subject to IET copyright. This paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission and Distribution (GTD) and is subject to IET copyright. The copy of record is available at [http://digital-library.theiet.org/]" and the paper is available through IEEE Xplore at [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4907255]Page 2 of 26 IntroductionThis paper presents an architecture for the measurement of frequency, amplitude and phase within 3-phase AC power systems. The architecture is designed to fulfil a number of emerging requirements pertinent to distributed generation and microgrid control applications: The measurements must settle quickly; within ~5 cycles for a frequency or voltage measurement used by a droop controller, and within ~2 cycles for an amplitude measurement used for protective relaying. The measurements must be able to track rapid frequency changes up to 10Hz/s during islanded operation. The measurement of frequency should be able to ride through single-phase, two-phase and partial-depth three-phase faults indefinitely. The frequency measurement should also be able to ride through a full-depth three-phase fault for a configurable amount of time. To enable deployment on cheap microcontrollers, the major signal processing algorithms should be able to operate at a fixed frame rate, possibly clocking as slowly as 10 samples per cycle (500Hz for a 50Hz power system; a frame time of should be better than ±0.01pu for 2-cycle measurements (protective relaying) and better than ±0.001pu for 5-cycle measurements used as inputs to reactive-power droop controllers.The simplest examples of algorithms for single-ph...

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New technique for frequency and amplitude estimation of power system signals

Cited by 64 publications

References 6 publications

A survey of techniques applied to non-stationary waveforms in electrical power systems

A survey of techniques applied to non-stationary waveforms in electrical power systems

Estimation of Electrical Power Quantities by Means of Kalman Filtering

Frequency and fundamental signal measurement algorithms for distributed control and protection applications

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