Abstract
Abstract. Coordinated wind farm control takes the interaction between turbines into account and improves the performance of the overall wind farm. Accurate surrogate models are the key to model-based wind farm control. In this article a modifier adaptation approach is proposed to improve surrogate models. The approach exploits plant measurements to estimate and correct the mismatch between the surrogate model and the actual plant. Gaussian process regression, which is a probabilistic nonparametric modeling technique, is used in the identification of the plant–model mismatch. The efficacy of the approach is illustrated in several numerical case studies. Moreover, challenges in applying the approach to a real wind farm with a truly dynamic environment are discussed.
Highlights
Wind turbines in a wind farm are operated to maximize their power production and minimize the loads on their structure and power electronics
It is expected that a wind farm control strategy that takes the interaction between turbines into account can improve the overall performance of the wind farm (Steinbuch et al, 1988; Johnson and Thomas, 2009; Barthelmie et al, 2009)
Evaluating wind tunnel experiments (Campagnolo et al, 2016; Bartl and Sætran, 2016), high-fidelity simulations (Annoni et al, 2016) and field tests, it is suggested that axial induction control using steady-state surrogate models to calculate the optimal control settings may be unable to improve the power production of a wind farm
Summary
Wind turbines in a wind farm are operated to maximize their power production and minimize the loads on their structure and power electronics. The impact on the downstream turbines due to wake interactions is ignored. Such a control strategy is called greedy since it only focuses on the operation of an individual wind turbine. Evaluating wind tunnel experiments (Campagnolo et al, 2016; Bartl and Sætran, 2016), high-fidelity simulations (Annoni et al, 2016) and field tests (van der Hoek et al, 2019), it is suggested that axial induction control using steady-state surrogate models to calculate the optimal control settings may be unable to improve the power production of a wind farm
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