Article number 938This paper presents a new approach based on the optimization of the blade pitching
strategy of offshore wind turbines in order to maximize the global energy output considering the
Gaussian wake model and including the effect of added turbulence. A genetic algorithm is proposed
as an optimization tool in the process of finding the optimal setting of the wind turbines, which aims
to determine the individual pitch of each turbine so that the overall losses due to the wake effect
are minimised. The integration of the Gaussian model, including the added turbulence effect, for
the evaluation of the wakes provides a step forward in the development of strategies for optimal
operation of offshore wind farms, as it is one of the state-of-the-art analytical wake models that allow
the evaluation of the energy output of the project in a more reliable way. The proposed methodology
has been tested through the execution of a set of test cases that show the ability of the proposed tool
to maximize the energy production of offshore wind farms, as well as highlights the importance of
considering the effect of added turbulence in the evaluation of the wake.Centro para el Desarrollo Tecnológico Industrial (España) CER-20191019Centro para el Desarrollo Tecnológico Industrial (España) RED 718RT056
