Improving the dynamic response of active power filters based on the synchronous reference frame method

The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods. Shunt active power filters are highly desirable to minimize losses due to the increase in the number of nonlinear loads (deformed power). Currently, there is rapid development in new adaptive, non-adaptive, and especially hybrid methods of digital signal processing. Nowadays, modern methods of digital signal processing maintain a key role in research and industrial applications. Many of the best practices that have been used to control shunt active power in industrial practice for decades are now being surpassed in favor of new progressive approaches. This systematic research review classifies the importance of using advanced signal processing methods in the field of shunt active power filter control methods and summarizes the extant harmonic extraction methods, from the conventional approach to new progressive methods using genetic algorithms, artificial intelligence, and machine learning. Synchronization techniques are described and compared as well.

show abstract

“…In [ 85 ], Oliveira introduces a modified SRF method. Here, it is assumed that even harmonic components are not part of the load current.…”

Section: Harmonic Extraction Algorithmsmentioning

confidence: 99%

“…In the d-q coordinates, the odd harmonic components are manifested as multiples of the number 6. More in [ 85 ]. Block diagram of this method can be seen in Figure 7 .…”

Section: Harmonic Extraction Algorithmsmentioning

confidence: 99%