TY - JOUR
AU - 
AB - 9 VII July 2021 https://doi.org/10.22214/ijraset.2021.36385 International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue VII July 2021- Available at www.ijraset.com A Composite Control Method for Power Quality Enhancement: PI Controller with Neural Network 1 2 Pratibha Tiwari , Nisheet Soni 1 2 Master Candidate, Asst. Professor, Jabalpur Engineering College, Jabalpur, Madhya Pradesh – 482005, India Abstract: The number of installations of Micro-Grid will increase to quadruple by 2020. The purpose is to improve the power quality while reducing the cost and the consumption of electricity in transmission and distribution networks, using a hybrid system powered by solar and wind sources, as well as integrating storage devices. This paper reviews and discusses the Micro- Grid Model with PI controller and neural network for power quality enhancement. Then, a comparative study of different battery types used for large-scale electricity storage is carried out, followed by a review of control strategies. In this research work, designed a model in MATLAB 2015A, indicating all the power quality parameters. Keywords: Power quality, hybrid, solar, wind, Power converter, Micro-grid, PI controller I. INTRODUCTION Today, the high penetration of hybrid renewable energy 
TI - A Composite Control Method for Power Quality Enhancement: PI Controller with Neural Network
JF - International Journal for Research in Applied Science and Engineering Technology
DO - 10.22214/ijraset.2021.36385
DA - 2021-07-15
UR - https://www.deepdyve.com/lp/unpaywall/a-composite-control-method-for-power-quality-enhancement-pi-controller-CvYiYLC8AJ
DP - DeepDyve
ER -