Model Predictive Control of a Wind Turbine |
Dennis Holm, Hasham Mirza
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| Abstract | The goal of this thesis is to examine the control of a single wind turbine. The demand in power from wind turbines is increasing. But while everyone demands more power production from wind turbines no one wants to have wind turbines in their own backyard. Therefore it is essential that when a turbine is placed somewhere that it will produce the most power with less wear as possible. Another need for controlling the power production of wind turbines is within the implementation of the Smart Grid all over Europe. With the Smart Grid it is wanted to control the flexible demand in power by increasing automatisation, distant control and the exchange of data with other IT systems. By controlling the wind turbines they can be set to steer the power production towards a certain demand and thus help the Smart Grid in doing its best.
A wind turbine model is presented and linearized. The model has been tested by simulations and then verified. The Model Predictive Control toolbox in Matlab was chosen to help design the controller for the model. Model Predictive Control has been investigated as a way to steer the wind turbine towards the wanted output and still be in the feasible area of the constraints that the model has. It has been shown through various simulations that such a controller is a reliable method. |
| Type | Bachelor thesis [Industrial collaboration] |
| Year | 2013 |
| Publisher | Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co |
| Address | Matematiktorvet, Building 303B, DK-2800 Kgs. Lyngby, Denmark, compute@compute.dtu.dk |
| Series | B.Sc.-2013-23 |
| Note | |
| Electronic version(s) | [pdf] |
| Publication link | http://www.compute.dtu.dk/English.aspx |
| BibTeX data | [bibtex] |
| IMM Group(s) | Scientific Computing |