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PDF of thesis T14959 PDF of thesis T14959 - (9 M)
Title Mitigating size related limitations in wind turbine control / David William Thompson.
Name Thompson, David William. .
Abstract A comparison of a baseline controller and a controller which incorporates the two designs described above shows significant reductions in the fluctuations of rotor and generator speed as well as power output. These changes to the controller also show greater improvements to performance in larger turbines. The inuence of the the tower and the non-linear dynamics present in the aerodynamics both become more severe as the size of the wind turbine increases. Therefore, a controller design which mitigates these effects has greater value as the wind energy industry continues on its path and develops ever larger wind turbines.
Abstract As the size of wind turbines steadily increase, a control system which can manage the loads and dynamics becomes more important. In this thesis, the effects of turbine scale on the control system are examined and designs which mitigate the arising problems are presented and discussed.
Abstract As well as the effect of the tower, non-linear dynamics present in the pitch control loop adversely effect performance. Previous work has developed a framework for a controller for non-linear plants which satisfies a criteria called extended local linear equivalence (ELLE). A novel controller which satisfies the ELLE criteria is presented which counters the non-linear dynamics present in the wind turbine and reduces fluctuations in speed and power.
Abstract In this thesis, a set of three wind turbines is developed using a method to scale a mathematical model of a wind turbine while maintaining similarity in the dynamics. This framework for producing the scaled wind turbines is presented and discussed.
Abstract The performance of the controller for a very large wind turbine is limited by the dynamics of the tower. By accounting for the non-minimum-phase dynamics present in the wind turbine, previous work has reduced loads in the tower. In this thesis, this framework is developed to improve speed and power control and recover some of the performance lost as turbine size increases.
Publication date 2018
Name Leithead, Bill, degree supervisor.
Name University of Strathclyde. Department of Electronic & Electrical Engineering.
Thesis note Thesis PhD University of Strathclyde 2018 T14959
System Number 000005342

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