Survey of Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Survey Paper | Electrical Engineering | India | Volume 6 Issue 11, November 2017

Survey of Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid

Abhinav Singh, Preeti Gupta

In this paper, the grid-connected hybrid AC/DC Microgrid is investigated. Completely different Renewable Energy Sources photovoltaic modules and turbine generator have been thought-about at the side of Solid oxide cell and Battery Energy Storage System. The aim of this project is to style and implementation of hybrid AC/DC network and artificial neural network controllers in an efficient manner. Adaptative Neural Networks are wont to track the most power points of renewable energy generators. It control the ability changed between the Front-End convertor and also the electrical grid.

Keywords: Adaptive interaction, fuel cells, microgrid, neural networks, photovoltaics, predictive control, wind energy, battery energy storage system

Edition: Volume 6 Issue 11, November 2017

Pages: 2187 - 2190

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How to Cite this Article?

Abhinav Singh, Preeti Gupta, "Survey of Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20176969, Volume 6 Issue 11, November 2017, 2187 - 2190

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Survey of Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid

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