Cooperative Control of Wind Farms for Optimizing the Total Energy Production

Wind energy is becoming widely recognized as one of the most cost-efficient sources of renewable energy. It is currently the fastest-growing energy source of electricity in the world, with worldwide wind-generation capacity tripling in the last five years. However, the projected growth in worldwide capacity is driving the need for advances in wind science and engineering, including advanced control techniques.

In general, Wind Turbine Generator Systems (WTGS) are applied to transform the energy present in the blowing wind into electrical energy. As wind is a highly variable resource that cannot be stored, the operation of a WTGS has to be adapted to the current wind conditions.

The main research objective of this project COTEL is the development of a distributed wind farm controller where two novel solutions will be derived and compared with regard to control efficiency and overall power generation: One is the model-based approach in the form of a distributed model predictive control approach using advanced dynamic wake and wake interaction models and the second is a distributed model-free control approach with improved coordination and cooperation schemes comparing to existing solutions.

The recent development of large wind farms has initiated the development of advanced, automatic wind farm controllers. The wind farm controllers should aim at improving the power reference distribution among wind turbines, control the structural loads and optimize the energy production. To address these questions, there is an urgent need for a wind farm flow model. There has been an increasing interest in both- the wind energy and control community -on finding accurate and reliable models for the wind field within wind farms. This has been widely motivated by two reasons. One is the necessity of reducing the loads in the blades in order to guarantee the lifetime of the mechanical parts and the other one is the optimization of the total power production of the farm, improving the quality of the generated electrical energy. In particular, of great interest is to maximize the total power production of the farm by taking into consideration the interaction between the turbines produced by the wakes. Therefore, two novel solutions of a distributed wind farm controller will be derived in this project COTEL. The first one is a model-based scheme in the form of a Distributed Model Predictive Control (DMPC) approach using advanced dynamic wake and wake interaction models and the other one a Distributed Model-Free Control (DMFC) approach with improved coordination and cooperation schemes. Both methods are based on existing recent research work in wind farm control and also own contributions in networked control systems and distributed control.


Wind farm Kehmen-Heischent, Luxembourg

Wind farm Kehmen-Heischent, Luxembourg


Researchers:  Prof. Dr. Holger VoosProf. Dr. Mohamed Darouach.