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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 [2] | Preeti Gupta [6]
Abstract: 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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Review Papers, Electrical Engineering, India, Volume 4 Issue 4, April 2015
Pages: 1239 - 1240A Comparison of 5 Level Multilevel Inverter Topologies
Vivekkumar A Patel | Rital R. Gajjar
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M.Tech / M.E / PhD Thesis, Electrical Engineering, India, Volume 6 Issue 1, January 2017
Pages: 1701 - 1706Dynamic Voltage Restorer (DVR) Utilized for Enhancing the Voltage Quality in Medium Voltage Networks using Hybrid Power Source Setup
Ashish Tiwari [2] | Vikash Mohan