Performance evaluation of composite filter for power quality improvement of electric arc furnace distribution network
•Cassie–Mayr’s electric arc furnace (EAF) model distribution network is simulated.•Power quality analysis under sinusoidal and distorted voltage source conditions.•Control strategy proposed for composite filter based on dual vetorial theory for EAF.•Performance is evaluated +10 variations in filter...
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Veröffentlicht in: | International journal of electrical power & energy systems 2016-07, Vol.79, p.53-65 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | •Cassie–Mayr’s electric arc furnace (EAF) model distribution network is simulated.•Power quality analysis under sinusoidal and distorted voltage source conditions.•Control strategy proposed for composite filter based on dual vetorial theory for EAF.•Performance is evaluated +10 variations in filter parameters with distorted source.•Results-harmonic compensation, voltage flicker mitigation, voltage unbalance clearance.
Electric arc furnace (EAF) is one of the responsible cause for deteriorating power quality in the distribution network by, introducing harmonics, propagating voltage flicker and causing unbalance in voltages and currents. This paper presents performance evaluation of composite filter (CF) for power quality improvement of EAF distribution network. The performance of CF is evaluated in terms of harmonic and voltage flicker mitigation capability of CF. The composite filter is consisting of a shunt LC passive filter connected with a lower rated voltage source PWM converter based series active power filter (SAPF). Performance of the composite filter (CF) is compared and analyzed with that of passive filter to improve power quality at point of common coupling (PCC). Simulation for a typical EAF distribution network along with the PF and the CF filter has been carried out to validate the performance. The simulations have been carried out in MATLAB environment using SIMULINK and power system block set toolboxes. |
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ISSN: | 0142-0615 1879-3517 |
DOI: | 10.1016/j.ijepes.2016.01.006 |