Abstract
This 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.
Highlights
Farms Considering Gaussian WakeOffshore wind energy is one of the renewable generation technologies that has experienced the greatest technological and industrial progress in recent years, while achieving significant installation rates throughout the world despite its still relatively high costs compared to conventional technologies and photovoltaic technology in particular
The rest of the paper is structured as follows: Section 2 presents the energy production model of the wind farm (WF), by describing the proposed wake model and the operating conditions according to the pitch angle of the wind turbine (WT); Section 3 introduces the optimisation approach used to maximise the power captured by the entire offshore WF; Section 4 presents the results obtained in the proposed tests and, Section 5 presents the conclusions of the work carried out
A new approach to the problem of global pitch angle control to maximize energy capture has been presented considering the Gaussian wake model introduced by Bastankhah and Porté-Agel, and considering the effect of added turbulence on the evolution of the wind speed in the wake
Summary
Offshore wind energy is one of the renewable generation technologies that has experienced the greatest technological and industrial progress in recent years, while achieving significant installation rates throughout the world despite its still relatively high costs compared to conventional technologies and photovoltaic technology in particular. In addition to introducing the Gaussian wake model, the present work has added the influence of the turbulence intensity added by the WTs, which significantly affects the recovery of the wake, adding an additional degree of realism to the modelling of the problem posed After this brief introduction, the rest of the paper is structured as follows: Section 2 presents the energy production model of the WF, by describing the proposed wake model and the operating conditions according to the pitch angle of the WT; Section 3 introduces the optimisation approach used to maximise the power captured by the entire offshore WF; Section 4 presents the results obtained in the proposed tests and, Section 5 presents the conclusions of the work carried out
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