A Filter-Less Time-Domain Method for Reference Signal Extraction in Shunt Active Power Filters

Abdallah El Ghaly, Mohamad Tarnini, Nazih Moubayed and Khaled Chahine
Additional contact information
Abdallah El Ghaly: ECE Department, Faculty of Engineering, Beirut Arab University, Beirut 11-5020, Lebanon
Mohamad Tarnini: ECE Department, Faculty of Engineering, Beirut Arab University, Beirut 11-5020, Lebanon
Nazih Moubayed: LaRGES, CRSI, Faculty of Engineering, Lebanese University, Tripoli 1300, Lebanon
Khaled Chahine: College of Engineering and Technology, American University of the Middle East, Kuwait

Energies, 2022, vol. 15, issue 15, 1-16

Abstract: Current distortion degrades power quality and affects system performance, especially for sensitive loads that require pure sinusoidal waves. Owing to its excellent dynamic response, a well-designed active power filter (APF) can achieve a total harmonic distortion (THD) within the acceptable limits defined by IEEE 3002 standards through compensating harmonic distortions. The APF consists of two main modules: a reference signal extraction module and a modulation module. This paper adapts the matrix pencil method, a well-known model-based parameter estimation technique, to the problem of reference extraction. Contrary to conventional time-domain methods such as the synchronous reference frame (SRF) and the reactive power theory (PQ theory) that rely on low-pass filters in their implementations, the proposed method does not use a filter. However, it extracts the reference signal by first decomposing the load current into its constituent frequency components, and then subtracting the pure sine wave synthesized from the obtained fundamental component from the load current. Results on simulated data from MATLAB/Simulink confirm the higher accuracy and fast response time of the proposed method in extracting the reference signal.

Keywords: active power filter (APF); power quality; reactive power theory (PQ theory); synchronous reference frame (SRF) d-q theory; reference signal extraction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/15/5568/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/15/5568/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:15:p:5568-:d:877140

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().