Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 10015 | |
Number of page(s) | 13 | |
Section | Grid Connected Systems | |
DOI | https://doi.org/10.1051/e3sconf/202454010015 | |
Published online | 21 June 2024 |
Enhancement of Power Quality in Grid-Connected Distribution Systems Employing AI-Based Controllers
Dr. G. Pandu Ranga Reddy, EEE Department, Associate Professor, G.Pullaiah College of Engineering & Technology, Kurnool, Andhra Pradesh, India .
G. Harshitha, Student, G. Pullaiah College of Engineering & Technology, Kurnool, Andhra Pradesh, India .
P. Lakshmi Priya, Student, G. Pullaiah College of Engineering & Technology, Kurnool Andhra Pradesh, India .
J. V. N. S. Roshini, Student, G. Pullaiah College of Engineering & Technology, Kurnool Andhra Pradesh, India .
M. Harshiya, Student, G. Pullaiah College of Engineering & Technology, Kurnool, Andhra Pradesh, India .
* Corresponding Author: pandurangaeee@gpcet.ac.in.
The main concerns with electrical distribution networks are the degradation of power quality. The main culprit behind this problem is non-linear technology, specifically switching devices and power electronics converters. Power supply efficiency, system efficacy, power factor loss, etc. Are all adversely impacted by non- linearity. It is necessary to compensate for the reactive power since it has increased as a result of the power factor drop and does not contribute to the transmission of energy. In this project, Artificial Intelligence based controllers have been proposed for improving Power Quality in Grid connected Distribution System. This is used to reduce the harmonics of current and other correlated power quality issues caused by reactive power. With the aid of the MATLAB/ SIMULINK toolkit, these control approaches are to be simulated. In this paper, we examine whether ANN or ANFIS is the most appropriate method.
Key words: DSTATCOM / Power Quality / Voltage Sag / Voltage Swell / Harmonics
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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