Project Description
CL-Windcon addressed multi-fidelity dynamic modelling and open and closed-loop advanced control algorithms at farm level by treating the entire wind farm as a comprehensive real-time optimisation problem. CL-Windcon has taken farm-level controls from the current non-existent or basic static approach to dynamic open and closed-loop control strategies.
Dynamic closed-loop wind farm control can deal with both time-varying inflow conditions and model mismatch/uncertainties, thereby removing important technological barriers. During the preparation phase, Qi elaborated the ‘impact assessment’ section and participated in the project as a partner, evaluating how the novel control algorithms affect the reliability of the wind farm. Qi also optimised the operation and maintenance costs, thereby easing the deployment of renewable wind energy within the energy mix and accelerating its roll-out. To finish, Qi evaluated the total economic worth of the new wind farm control algorithms, maximising the potential payoffs coming from the new technology and contributing to the European Security of Supply.
Project Details
Activities:
Working Areas:
- Renewables, energy efficiency and carbon capture
- Impact evaluation and roadmaps
Client: CL WINDCON
Start Date: 2016
End Date: 2019
Europe:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727477
