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Multi-Objective Offshore Wind Farm Wake Redirection Optimization for Power Maximization and Load Reduction | IEEE Conference Publication | IEEE Xplore

Multi-Objective Offshore Wind Farm Wake Redirection Optimization for Power Maximization and Load Reduction


Abstract:

Wind turbines in an offshore wind farm usually operate individually to maximize the power output for each turbine. However, this is not an optimal configuration for a win...Show More

Abstract:

Wind turbines in an offshore wind farm usually operate individually to maximize the power output for each turbine. However, this is not an optimal configuration for a wind farm with inner wake interactions, as they not only affect the overall power output but also introduce extra fatigue on the turbine structures. Recently, wind farm level coordinated control, such as coordinated yaw and axial-induction control, has been regarded as a promising solution to improve the overall performance of a wind farm. In this work, an offshore wind farm wake redirection control scheme is proposed for both power maximization and load reduction, which is achieved by a multi-objective optimization process. In particular, a fatigue assessment model is established for fast fatigue evaluation under yaw-misalignment and wake effects based on a large number of aero-elastic simulations. It is accomplished by calculating the Damage Equivalent Loads (DELs) on the tower and the blade with the rain-flow counting method. To verify the effectiveness of the proposed method, the medium-fidelity wind farm simulation code WFSim is used in the optimization and analysis process. Numerical results have shown that the overall power output can be increased by up to 12.5%, while the fatigue loads of critical structures are reduced by up to 15.3% with the proposed wind farm control strategy. In contrast, a power-only optimization design may lead to increased fatigue loads.
Date of Conference: 08-10 June 2022
Date Added to IEEE Xplore: 05 September 2022
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Conference Location: Atlanta, GA, USA

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