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Supervisory Control of a Wind Energy System by Using a Hybrid System Approach

: Gambier, A.; Li, Z.; Yang, Q.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
IECON 2019, IEEE 45th Annual Conference of the Industrial Electronics Society. Proceedings : October 14-17, 2019, Lisbon, Portugal
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-4878-6
ISBN: 978-1-7281-4879-3
IEEE Industrial Electronics Society (IECON Annual Conference) <45, 2019, Lisbon>
Conference Paper
Fraunhofer IWES ()

The operation of large wind turbines requires an efficient control system in order to have a stable and optimal behavior for all operational states. The control system consists in general of several control loop with multiple controllers, which have to be managed according to the operational states of the machine by a supervisor. The present work describes the implementation of a supervisory control system by using a hybrid automaton, whose function is to switch control loops and controllers according the current operational state of the machine. Standard control laws for the generator, the blade pitching and for the active tower damping are implemented. As example, a 20-MW wind turbine is simulated in FAST. The control system is implemented in Matlab/Simulink.