Wind farm control plays a central role in increasing the value of wind energy. To this aim, wind farms need to be able not only to maximise their power output, but also to provide system services which are currently mostly provided by conventional power plants. At the same time, structural loads need to be limited or even actively reduced. Therefore, wind farm controllers need to handle different objectives, which are also expected to change during the wind farm lifetime.
Job description
With your strong background in control engineering, you will be designing control algorithms for wind turbines and wind farms that can accommodate various objectives, from improving the grid integration, power maximisation, to load reduction. You will be collaborating with other group members working on wind farm control, high-fidelity simulations, inflow modelling and estimation. Furthermore, you will participate in planning of wind tunnel and field experiments for validation of developed control algorithms.
Depending on your preferences and previous experiences, your tasks will be related to one of the following projects:
Project A:
- Loads-aware wind farm control for addressing different control objectives
- Adaptation of the control algorithm to changing wind farm characteristics, operational goals and load limits
- Integration of wind farm control within the control framework for the lifetime optimisation of the wind farm value
Project B:
- Wind turbine and wind farm control in complex terrains
- Uncertainty quantification of measurement signals and robust wind farm control
- Improved integration of wind turbine control with the wind farm controller
- Improved grid integration, including short-term and mid-term power boosting
Additionally, you will support the group in its organisational and teaching activities.
