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Modelling and investigation of clean power wind energy systems by using UPQC
Author(s) -
K Venkata Rami Reddy,
T Gowri Manohar
Publication year - 2016
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.3624
Subject(s) - pid controller , wind power , electric power system , control engineering , control theory (sociology) , engineering , matlab , voltage sag , power electronics , artificial neural network , ac power , computer science , controller (irrigation) , power quality , power (physics) , voltage , control (management) , electrical engineering , artificial intelligence , temperature control , agronomy , physics , quantum mechanics , biology , operating system
Summary This article presents a new clean power technique for wind energy system based on Unified Power Quality Conditioner (UPQC) with usage of various Artificial Intelligent techniques (AI). Application of AI techniques such as Artificial Neural Networks, Fuzzy Logic is growing fast in the area of power electronics equipment‐based wind energy system, for instance, UPQC. A novel control scheme is developed by using different AI techniques to mitigate the balancing issues and to control the power–quality problems in UPQC and hence to provide clean power to the grid. The proposed system is composed of shunt active power filter, and the inherent proportional integral (PI) control parameters are tuned with application of PI techniques. A detailed Matlab simulation study is carried out with an application of PI techniques under sag, swell, unbalanced, and harmonic conditions. An exhaustive simulation study is carried out to investigate the application of PI technique‐based controllers and compare its performance with the conventional PI controller with its results explored. Copyright © 2016 John Wiley & Sons, Ltd.