Design Concepts of DFIG Based Wind Turbine Control System using Neuro Fuzzy Controller for Industrial Applications
Journal Title: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) - Year 2018, Vol 8, Issue 2
Abstract
Extracting energy from the wind by wind turbine plays important role in the renewable energy systems. In the modern world, ‘making smart city’ is the key concept to generate alternative power. Industries, Institutions, Household appliances, etc. need continuous electrical power for their needs. It can be fulfilled by renewable energy sources such as wind, solar, etc. Designing of variable wind turbine includes capturing of wind energy, conversion from mechanical rotation into electrical, starting and stopping of turbine system. These are not limited to the above, but also considering aerodynamic blade design, design of complete wind system, design of hub, generator structure and so on. For better performance of wind turbine, a control strategy can be designed so that the performance of the Power electronic components and generator used in wind turbine system can be enhanced. An optimization technique has been stated here along with intelligent control design. In this article, design concepts, performance measurement and storage capacity of wind power systems and Intelligent Controllers have been explained.
Authors and Affiliations
DHANASELVAM J, V. RUKKUMANI
Keywords
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- EP ID EP347109
- DOI 10.24247/ijmperdapr201818
- Views 100
- Downloads 0
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