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dc.contributor.authorBaroš, Jan
dc.contributor.authorŠotola, Vojtěch
dc.contributor.authorBilík, Petr
dc.contributor.authorMartinek, Radek
dc.contributor.authorJaroš, René
dc.contributor.authorDanys, Lukáš
dc.contributor.authorŠimoník, Petr
dc.date.accessioned2023-02-08T12:34:08Z
dc.date.available2023-02-08T12:34:08Z
dc.date.issued2022
dc.identifier.citationSensors. 2022, vol. 22, issue 20, art. no. 7985.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/149082
dc.description.abstractThe 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.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttps://doi.org/10.3390/s22207985cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectactive filtrationcs
dc.subjectharmonic extractioncs
dc.subjectshunt active power filtercs
dc.subjectsynchronizationcs
dc.subjecttotal harmonic distortioncs
dc.titleReview of fundamental active current extraction techniques for SAPFcs
dc.typearticlecs
dc.identifier.doi10.3390/s22207985
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume22cs
dc.description.issue20cs
dc.description.firstpageart. no. 7985cs
dc.identifier.wos000875198200001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.