2010
DOI: 10.7763/ijcee.2010.v2.132
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Comparison of Three Phase Shunt Active Power Filter Algorithms

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Cited by 39 publications
(9 citation statements)
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“…The most control algorithms of three-phase shunt active power filters are based on instantaneous PQ theory, synchronous detection method and using multilevel inverters. In [5,6], the Î 1 .cos(Φ) algorithm forces the supply current to be equal to the magnitude of the real component of fundamental load current, which is in same phase with the main sinusoidal supply voltage. This technique is applicable for three-phase voltage source inverters.…”
Section: Introductionmentioning
confidence: 99%
“…The most control algorithms of three-phase shunt active power filters are based on instantaneous PQ theory, synchronous detection method and using multilevel inverters. In [5,6], the Î 1 .cos(Φ) algorithm forces the supply current to be equal to the magnitude of the real component of fundamental load current, which is in same phase with the main sinusoidal supply voltage. This technique is applicable for three-phase voltage source inverters.…”
Section: Introductionmentioning
confidence: 99%
“…The existence of harmonics in power systems can cause some difficulties such as increasing power losses, decreasing maximum capacity of transmission lines, and interference with communication signals [1]. Numerous methods including the synchronous reference frame (SRF) and p-q-based method have been suggested to minimize these effects [2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the time domain methods require less calculations and are widely Paper: ASAT-16-009-EP 3 followed for computing the reference current. The time-domain methods include, instantaneous reactive power theory p-q method [1 and 7-11], Synchronous Reference Frame (SRF) [12,13], Direct Testing and Calculating Method (DTCM) and Notch Filtering. This paper presents modeling and simulation of a direct testing and calculating control algorithm of active power filter using MATLAB Simulink.…”
Section: Introductionmentioning
confidence: 99%