Optimization of Proportional-Integral Controllers of Grid-Connected Wind Energy Conversion System Using Grey Wolf Optimizer Based on Artificial Neural Network for Power Quality Improvement

Optimization of Proportional-Integral Controllers of Grid-Connected Wind Energy Conversion System Using Grey Wolf Optimizer Based on Artificial Neural Network for Power Quality Improvement

This research presents a combination of artificial neural network (ANN) with the grey wolf optimizer (GWO) to improve the power quality of a grid-connected distributed power generation system (DPGS). To assess the effectiveness of the proposed algorithm, a grid-tied of small-scale wind energy conver...

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Bibliographic Details
Main Authors: Fathi Abdulmajeed M. Alremali, Ersagun Kürşat Yaylaci, İhsan Uluer
Format: Article
Language:English
Published: Lublin University of Technology 2022-07-01
Series:Advances in Sciences and Technology
Subjects:
pi controller
artificial neural network
power quality
wind energy
grey wolf optimizer
grid connection
Online Access:http://www.astrj.com/Optimization-of-Proportional-Integral-Controllers-of-Grid-Connected-Wind-Energy-Conversion,150401,0,2.html

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http://www.astrj.com/Optimization-of-Proportional-Integral-Controllers-of-Grid-Connected-Wind-Energy-Conversion,150401,0,2.html

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