Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86087277" target="_blank" >RIV/61989100:27240/13:86087277 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.atlantis-press.com/php/pub.php?publication=cse-13&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D6893" target="_blank" >http://www.atlantis-press.com/php/pub.php?publication=cse-13&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D6893</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2991/cse.2013.37" target="_blank" >10.2991/cse.2013.37</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques

Popis výsledku v původním jazyce

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 attributesof 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.

Název v anglickém jazyce

Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques

Popis výsledku anglicky

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 attributesof 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.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

—

Projekt

<a href="/cs/project/LH12183" target="_blank" >LH12183: Smart instrumentation - Vývoj a ověřování pokročilých měřicích systémů pro aplikační oblast přenosu a distribuce elektrické energie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems Research. Volume 42

ISBN

978-90-78677-70-3

ISSN

1951-6851

e-ISSN

—

Počet stran výsledku

5

Strana od-do

157-161

Název nakladatele

Atlantis Press

Místo vydání

Paris

Místo konání akce

Los Angeles

Datum konání akce

1. 7. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000327941200035