International Journal of Electrical and Power Engineering

140
Views

1
Downloads

Power Quality Improvement Using ANN Logic Based UPQC

G. Venkata Prasad, S. Muqthiar Ali and M. Padma Lalitha
Page: 71-75 | Received 21 Sep 2022, Published online: 21 Sep 2022

By Research Area

Medicine & Public Health Life Sciences Engineering Mathematics Biomedicine Physics Chemistry Computer Science Earth Sciences Social Sciences Business and Management Psychology Materials Science Economics Education Environment Philosophy Statistics Law Political Science and International Relations Pharmacy Dentistry Energy Linguistics Geography Finance Criminology and Criminal Justice Medicine Cultural and Media Studies History Architecture / Design Literature Biomedical Sciences Religious Studies Education & Language Food Science & Nutrition Public Health

By Volume and Issue

Abstract

A Unified Power Quality Controller (UPQC) using a Aritifical Neural Network (ANN) has been proposed. The results obtained through the ANN are good in terms of dynamic response because of the fact that the ANN is based on linguistic variable set theory and does not require a mathematical model of the system. Moreover, the tedious method of tuning the PI controller is not required in case of ANN. Simulations are carried out using MATLAB/Simulink to validate the theoretical findings.

How to cite this article:

G. Venkata Prasad, S. Muqthiar Ali and M. Padma Lalitha. Power Quality Improvement Using ANN Logic Based UPQC.
DOI: https://doi.org/10.36478/ijepe.2013.71.75
URL: https://www.makhillpublications.co/view-article/1990-7958/ijepe.2013.71.75