Open AccessA Composite Control Method for Power Quality Enhancement: PI Controller with Neural Network
Author(s) -
Pratibha Tiwari
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36385
Subject(s) - controller (irrigation) , computer science , matlab , electricity , automotive engineering , artificial neural network , grid , pid controller , transmission (telecommunications) , power (physics) , control engineering , electrical engineering , engineering , telecommunications , artificial intelligence , temperature control , mathematics , operating system , physics , quantum mechanics , geometry , agronomy , biology
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.