Model Predictive Control of Wind Turbines | Martin Klauco
| | Abstract | Wind turbines are the biggest part of the green energy industry. Increasing interest of governments and private companies in this industry calls for continuing innovation in development, construction and operation. Great portion of the operational front lies in designing new and more efficient control strategies.
Control strategy has a significant impact on the wind turbine operation on many levels. First and foremost, it is the electrical power production. Secondly, the cost of power production is directly effected by the controller. On the third count, the lifetime of the turbine and its components is greatly effected by the controller and its performance.
One of control strategies, which can take into account, maximization of power production, minimization of costs and minimization of physical stress is called Model Predictive Control (MPC). In this thesis such control method is explored. Key principles of such control strategy is presented in this research, together with performed simulations. It will be shown, that this method is suitable for wind turbine control, and that it is capable of dealing with all presented issues. | | Type | Master's thesis [Academic thesis] | | Year | 2012 | | Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk | | Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark | | Series | IMM-M.Sc.-2012-65 | | Note | | | Electronic version(s) | [pdf] | | Publication link | http://www.imm.dtu.dk/English.aspx | | BibTeX data | [bibtex] | | IMM Group(s) | Mathematical Statistics |
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