Review of Fundamental Active Current Extraction Techniques for SAPF
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10250766" target="_blank" >RIV/61989100:27240/22:10250766 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/22/20/7985" target="_blank" >https://www.mdpi.com/1424-8220/22/20/7985</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s22207985" target="_blank" >10.3390/s22207985</a>
Alternative languages
Result language
angličtina
Original language name
Review of Fundamental Active Current Extraction Techniques for SAPF
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-3210
e-ISSN
1424-8220
Volume of the periodical
22
Issue of the periodical within the volume
20
Country of publishing house
CH - SWITZERLAND
Number of pages
41
Pages from-to
nestrankovano
UT code for WoS article
000875198200001
EID of the result in the Scopus database
—