Neural network for estimation of harmonic components in a power system

Osowski, S.

doi:10.1049/ip-c.1992.0021

Cited by 127 publications

(56 citation statements)

References 5 publications

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“…However, computational complexities such as matrix inversion involved in KF make it less appealing for real-time hardware implementation. The recursive nature of ANN based techniques proposed in the literature [8][9][10][11], results in a much slower response time (e.g. 35 ms [11]).…”

Section: Discussionmentioning

confidence: 99%

“…However, the computational complexity of these methods is much more than that of the FFT whilst the time taken for harmonic extraction is similar. The use of ANNs for real-time harmonic monitoring has been the focus of many researchers [8][9][10][11]. ANNs provide simple and straightforward techniques for selectively tracking individual harmonic components.…”

Section: Introductionmentioning

confidence: 99%

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Fast non-recursive extraction of individual harmonics using artificial neural networks

Wijayakulasooriya

Putrus

2005

IEE Proc., Gener. Transm. Distrib.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast non-recursive extraction of individual harmonics using artificial neural networks

Wijayakulasooriya

Putrus

2005

IEE Proc., Gener. Transm. Distrib.

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“…In early years, neural network have been actively used for estimation of harmonic components in a power system [21,22,23,24,25,26]. Various techniques were also used.…”

Section: State Of Artmentioning

confidence: 99%

A Brief Review on Advances of Harmonic State Estimation Techniques in Power Systems

Arumugam¹

2011

IJIEE

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Abstract-As the demand for power increases, the need for harmonic state estimation (HSE) has been increasing as well. Harmonics, injected by the non-linear equipments along the distribution networks, causes several power quality issues. Therefore, HSE plays an important role in harmonics monitoring and control. Various HSE techniques and algorithms have been developed since 1989, which would be reviewed and discussed in this paper. The author outlines the role of artificial intelligence (AI) in the field and the process overview of neural network and also a hybrid algorithm which combines particle swarm optimization (PSO) and gradient descent (GD) to train the weights of neural network (NN).

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“…An early attempt to use a neural network as an harmonic identifier is reported in [40]. A 2-layer neural network was used to estimate the Fourier coefficients of a distorted waveform.…”

Section: Pattern Learning and Identificationmentioning

confidence: 99%

Control techniques for active power filters

Green

Marks

2005

IEE Proc., Electr. Power Appl.

194

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Filters 1 AbstractThere have been many variants of the active power filter proposed and these variations cover both the circuit topology and the control system employed. Some of the control variants reflect different control objectives but there are still many variants within similar objectives. This paper describes and contrasts the available control techniques in a structured way to identify their performance strengths. Objectives are classified by the supply current components to be corrected and by the response required to distorted grid voltage. The various signal transformations are described in terms of their impact on the distortion identification problem. Time-domain, frequency-domain, instantaneous power and impedance synthesis methods are examined. Additional control functions such as DC-bus voltage and current reference following are also discussed. It is found that a key difference between control methods is way in which current distortion is treated in the presence of distorted grid voltage.

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Neural network for estimation of harmonic components in a power system

Cited by 127 publications

References 5 publications

Fast non-recursive extraction of individual harmonics using artificial neural networks

Fast non-recursive extraction of individual harmonics using artificial neural networks

A Brief Review on Advances of Harmonic State Estimation Techniques in Power Systems

Control techniques for active power filters

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