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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F13%3A86087277%21RIV14-MSM-27240___
rdf:type
skos:Concept n9:Vysledek
rdfs:seeAlso
http://www.atlantis-press.com/php/pub.php?publication=cse-13&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D6893
dcterms:description
This article is focused on progressive strategies of shunt active performance filters with intension to compensate higher harmonic currents of non-linear load. The authors of this article deal with usage of a combination of fuzzy system techniques and artificial intelligence, which is also known as Adaptive Neuro Fuzzy Interference Systems- ANFIS for improve in terms of quality of electrical energy in supply network. Within the executed experiments there was created a complex adaptive system based on the ANFIS structure. Authors have been examining different structures of the ANFIS network (structure). Experimental results based on real signals are showing up, that mentioned types of control with the use of ANFIS reach very good compensation attributes of the harmonic currents of non-linear load. These control strategies of the active shunt filter are compared on a base of total THD harmonic distortion of current networks after the compensation. This article is focused on progressive strategies of shunt active performance filters with intension to compensate higher harmonic currents of non-linear load. The authors of this article deal with usage of a combination of fuzzy system techniques and artificial intelligence, which is also known as Adaptive Neuro Fuzzy Interference Systems- ANFIS for improve in terms of quality of electrical energy in supply network. Within the executed experiments there was created a complex adaptive system based on the ANFIS structure. Authors have been examining different structures of the ANFIS network (structure). Experimental results based on real signals are showing up, that mentioned types of control with the use of ANFIS reach very good compensation attributes of the harmonic currents of non-linear load. These control strategies of the active shunt filter are compared on a base of total THD harmonic distortion of current networks after the compensation.
dcterms:title
Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques
skos:prefLabel
Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques
skos:notation
RIV/61989100:27240/13:86087277!RIV14-MSM-27240___
n9:predkladatel
n12:orjk%3A27240
n4:aktivita
n18:S n18:P
n4:aktivity
P(LH12183), S
n4:dodaniDat
n6:2014
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n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
98023
n4:idVysledku
RIV/61989100:27240/13:86087277
n4:jazykVysledku
n23:eng
n4:klicovaSlova
Shunt Active Power Filter- SAPF; Power Quality; Total Harmonic Distortion - THD; Adaptive Neuro Fuzzy Inference Systems - ANFIS
n4:klicoveSlovo
n7:Total%20Harmonic%20Distortion n7:Shunt%20Active%20Power%20Filter-%20SAPF n7:Adaptive%20Neuro%20Fuzzy%20Inference%20Systems n7:Power%20Quality
n4:kontrolniKodProRIV
[34807D175CC6]
n4:mistoKonaniAkce
Los Angeles
n4:mistoVydani
Paris
n4:nazevZdroje
Advances in Intelligent Systems Research. Volume 42
n4:obor
n14:JB
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:projekt
n21:LH12183
n4:rokUplatneniVysledku
n6:2013
n4:tvurceVysledku
Martinek, Radek Žídek, Jan Maňas, Jakub Bilík, Petr
n4:typAkce
n22:WRD
n4:wos
000327941200035
n4:zahajeniAkce
2013-07-01+02:00
s:issn
1951-6851
s:numberOfPages
5
n19:doi
10.2991/cse.2013.37
n20:hasPublisher
Atlantis Press
n16:isbn
978-90-78677-70-3
n11:organizacniJednotka
27240