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A distributed algorithm for NMPC-based wind farm control

Sébastien Gros (Institutionen för signaler och system, Reglerteknik)
Proceedings of the 53rd IEEE Annual Conference on Decision and Control, CDC 2014, Los Angeles, United States, 15-17 December 2014 (0743-1546). p. 4844-4849. (2015)
[Konferensbidrag, refereegranskat]

Nonlinear Model Predictive Control (NMPC) has been identified as a highly promising control technique for wind turbine generators, and has been shown to be realtime feasible for the control of individual wind turbines. The potential benefit of performing control at the wind farm level is well understood, and has been recently investigated in the literature. Likewise, the extension of NMPC from wind turbine to wind farm control is highly desirable, but very challenging since it requires solving large non-convex optimal control problems in real time. It has not been considered so far in the literature. This paper proposes a first contribution in that direction, using a distributed optimisation approach based on the Lagrange relaxation. The proposed algorithm requires a very limited amount of additional computations when compared to controlling the wind turbines individually via NMPC. The problem of smoothing the wind farm power output is considered here.

Nyckelord: distributed NMPC, Lagrange relaxation, Real-Time Iteration, wind farm control

Denna post skapades 2015-07-07. Senast ändrad 2016-11-02.
CPL Pubid: 219525


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)


Elektroteknik och elektronik

Chalmers infrastruktur