A Composite Control Method for Power Quality Enhancement: PI Controller with Neural Network
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 integrat...
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| Published in | International journal for research in applied science and engineering technology Vol. 9; no. VI; pp. 673 - 680 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
15.07.2021
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| Online Access | Get full text |
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| Summary: | 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. |
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| ISSN: | 2321-9653 2321-9653 |
| DOI: | 10.22214/ijraset.2021.36385 |