UGC Approved Journal no 63975(19)

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Published in:

Volume 10 Issue 1
January-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2301559


Registration ID:
508066

Page Number

f439-f447

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Title

Adaptive Neuro Fuzzy Interface System For Power Quality Improvement Using Shunt Active Power Filter Based on P-Q Theory

Abstract

Power Quality is a physical process of electrical supply provided under any operating conditions. Power quality problems arise due to load imbalance, low power factor, degrading the quality of supply. Due to harmonics overheating of neutral conductor, over heating of equipment as a result the equipment failures etc. occur. The harmonic results in the economically impact problems and power quality problem occur on customers and utilities. The current harmonics is the most active power quality problems and usually determined by shunt active power filter. The main objective of this work is to develop ANFIS to analyze and mitigate the current harmonics and to improve the power quality by shunt active power filter under balanced and unbalanced load condition. The main function of the shunt active power filter is to compensate the voltage and current harmonics occurred in load side. When the three-phase voltage source are balanced(ideal) then PI and Fuzzy are meeting to the same compensation features and when the supply voltages are unbalanced (non-ideal), fuzzy logic provides good results but, the shunt active power filter using ANFIS Controller has better and outstanding results as compared to remaining controllers. Thus, the power quality improvement using shunt active power filter using Adaptive Neuro Fuzzy Interface System Controller is proposed. The software used for simulation is simulink/matlab. The simulation results through MATLAB/Simulink are presented and authorized with Adaptive Neuro Fuzzy Interface System. Results shown neuro fuzzy based controller is better than the PI and Fuzzy controllers.

Key Words

PI controller, Hysteresis current controller, PWM controller, Fuzzy logic controller, Shunt Active Filter, Harmonics, ANFI, IEEE-519.

Cite This Article

"Adaptive Neuro Fuzzy Interface System For Power Quality Improvement Using Shunt Active Power Filter Based on P-Q Theory", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.f439-f447, January-2023, Available :http://www.jetir.org/papers/JETIR2301559.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Adaptive Neuro Fuzzy Interface System For Power Quality Improvement Using Shunt Active Power Filter Based on P-Q Theory", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppf439-f447, January-2023, Available at : http://www.jetir.org/papers/JETIR2301559.pdf

Publication Details

Published Paper ID: JETIR2301559
Registration ID: 508066
Published In: Volume 10 | Issue 1 | Year January-2023
DOI (Digital Object Identifier):
Page No: f439-f447
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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