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

DOI

10.2991/cse.2013.37How to use a DOI?

Keywords

Adaptive Neuro Fuzzy Inference Systems - ANFIS;Total Harmonic Distortion - THD;Power Quality;Shunt Active Power Filter- SAPF

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Radek Martinek
AU  - Jakub Manas
AU  - Jan Zidek
AU  - Petr Bilik
PY  - 2013/07
DA  - 2013/07
TI  - Power Quality Improvement by Shunt Active Performance Filters Emulated by Artificial Intelligence Techniques
BT  - Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.37
DO  - 10.2991/cse.2013.37
ID  - Martinek2013/07
ER  -