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Mathematical modelling of grid connected Doubly Fed Induction Generator based wind farm
- Source :
- 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- The day by day increase in electricity demand and depletion of fossil fuels has made the world to think about the renewable energy sources such as solar, wind etc., This paper focuses on the configuration of large Doubly Fed Induction Generator (DFIG) based wind farm connected into the grid. Nowadays DFIGs are more focused in the wind energy conversion systems due to its own advantages. This paper explains the development of a mathematical model of DFIG driven by wind turbine. The turbine generator set is considered as a two mass model and development of the same is discussed. Mathematical modelling of wind turbine, two mass drive train and grid connected DFIG machines are developed by using the dynamic equations. Dynamics of DFIG Rotor Side Converter (RSC) and Grid Side Converter (GSC) are analyzed for further studies with control. The MATLAB simulation results for a 3730W wind farm is explained in this paper, and analyses of various unbalanced conditions on wind farm has been discussed such as rotor short circuit, grid voltage dip and sudden drop in wind speed. Similarly, different rated DFIG machines can be modeled using different machine specifications with the help of developed model.
- Subjects :
- Engineering
Wind power
business.industry
Rotor (electric)
020209 energy
020208 electrical & electronic engineering
Drivetrain
Control engineering
02 engineering and technology
Grid
Turbine
Wind speed
Renewable energy
law.invention
Control theory
law
Steam turbine
0202 electrical engineering, electronic engineering, information engineering
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
- Accession number :
- edsair.doi...........51eb9f9415aa0b10e7f71d392b63e792
- Full Text :
- https://doi.org/10.1109/pedes.2016.7914301