Neural network controlled three-phase four-wire shunt active power filter

Elmitwally, A.; Abdelkader, Sobhy M.; Elkateb, M.M.

doi:10.1049/ip-gtd:20000007

Cited by 48 publications

(18 citation statements)

References 4 publications

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“…These networks are characterised by their topology, the way in which they communicate with their environment, the manner in which they are trained and their ability to process information [18]. Their ease of use, inherent reliability and fault tolerance has made ANNs a viable medium for control.…”

Section: Designing and Training Of Annmentioning

confidence: 99%

Power quality enhancement by Unified power Quality Conditioner Using ANN with Hysteresis Control

Rao¹,

Dash²

2010

IJCA

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The quality of the Electrical power is effected by many factors like harmonic contamination, due to non-linear loads, such as large thyristor power converters, rectifiers, voltage and current flickering due to arc in arc furnaces, sag and swell due to the switching of the loads etc. One of the many solutions is the use of a combined system of shunt and active series filters like unified power quality conditioner (UPQC) This device combines a shunt active filter together with a series active filter in a backto-back configuration, to simultaneously compensate the supply voltage and the load current or to mitigate any type of voltage and current fluctuations and power factor correction in a power distribution network. The present work study the compensation principle and different control strategies used here are based on PI & ANN controller of the UPQC in detail. The control strategies are modeled using MATLAB/SIMULINK. The simulation results are listed in comparison of different control strategies and for the verification of results. Keywordsactive power filter; artificial neural network-ANN; harmonics; power quality; unified power quality conditioner.

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Section: Designing and Training Of Annmentioning

confidence: 99%

Power quality enhancement by Unified power Quality Conditioner Using ANN with Hysteresis Control

Rao¹,

Dash²

2010

IJCA

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“…However, it is noted that the network requires a relatively large number of hidden-layer neurons and has correspondingly large training time and recall time. A different arrangement of the time-domain method is presented in [43,44]. Here the network again uses a vector of time-delayed load current samples as its input but it has been trained to identify the active component of current that should remain in the supply after cancellation.…”

Section: Pattern Learning and Identificationmentioning

confidence: 99%

Control techniques for active power filters

Green

Marks

2005

IEE Proc., Electr. Power Appl.

195

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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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“…Besides, (4) can be expressed in a trigonometrical form by expanding the complex exponential in the real and imaginary parts. That is (6) In particular, the fundamental harmonic is obtained (7) with (8) Expression (7) relates to the positive and negative sequence symmetrical components. By means of the expansion of the two complex exponentials, (3) can be expressed as (9) where (10) Equations (7) and (9) must be equal.…”

Section: Three-phase Circuits: Symmetrical Components and Power Tmentioning

confidence: 99%