2012
DOI: 10.1109/tps.2011.2181873
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Analysis of Harmonic Current Suppression and Reactive Power Compensation on 125 MVA Motor Generator

Abstract: The load of the 125 MVA motor generator on the HL-2A tokamak is introduced. The frequency of harmonics on the output current is analyzed, and the analysis result is verified by Fourier decomposition of the measured signal. The variable harmonic and reactive currents through the power lines of the generator are figured out using its phase voltage and currents. The simulation results are helpful to the R&D of the active power filter for the 125 MVA generator. Index Terms-Instantaneous reactive power theory, moto… Show more

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Cited by 5 publications
(4 citation statements)
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“…3 for the islanded mode, except with the improved droop expressions in (18) and (19) used instead. In addition, a harmonic detection block based on instantaneous power theory [24] has been used for extracting harmonic voltage v h from the inverter terminal voltage v ac . The voltage reference for tracking is then obtained by summing v f and v h , where v f is the fundamental voltage reference produced by the droop controller.…”
Section: Grid-connected Modementioning
confidence: 99%
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“…3 for the islanded mode, except with the improved droop expressions in (18) and (19) used instead. In addition, a harmonic detection block based on instantaneous power theory [24] has been used for extracting harmonic voltage v h from the inverter terminal voltage v ac . The voltage reference for tracking is then obtained by summing v f and v h , where v f is the fundamental voltage reference produced by the droop controller.…”
Section: Grid-connected Modementioning
confidence: 99%
“…Lifting the frequency alone is however not sufficient, since the phase of the inverter θ may not be equal to that of the grid θ grid . It is therefore important for the inverter to track the phase of the grid using (24), which upon achieved, will indirectly force the inverter to have the same frequency as the grid.…”
Section: Seamless Transfermentioning
confidence: 99%
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“…They include artificial intelligence, time domain, and frequency domain techniques [11,12]. The frequency domain is always associated with the computation of Fourier coefficients and time delay in sampling, which causes all algorithms in this domain to face difficulties in real-time applications especially with dynamically varying loads [13]. The time domain basically has better performance in terms of convergence speed compared with the frequency domain [11].…”
Section: Introductionmentioning
confidence: 99%