2018 European Control Conference (ECC) 2018
DOI: 10.23919/ecc.2018.8550199
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Operational Regions of a Multi-Kite AWE System

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Cited by 15 publications
(23 citation statements)
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“…In an optimal control problem (OCP), the decision variables define the concrete system behavior, which must be consistent with the modeled system dynamics -among other constraints -over the entire optimization period. An AWE OCP can seek to maximize the average system power (De Horn, Gros, & Diehl, 2013;Leuthold et al, 2018;Licitra, Koenemann, et al, 2019;Sternberg, Goit, Gros, Meyers, & Diehl, 2012); maximize the total energy generation (Aull, Stough, & Cohen, 2020;Canale, Fagiano, & Milanese, 2010;Fernandes, Tiago Paiva, & Fontes, 2019); reward robustness on safety-critical constraints (Houska & Diehl, 2010;Saraiva, De Lellis, & Trofino, 2014;; or meet some other target. Detailed information about numerical methods for the solution of OCPs can be found in (Betts, 2010;Biegler, 2010) or in (Rawlings, Mayne, & Diehl, 2017, Chapter 8).…”
Section: Optimal Control Problemsmentioning
confidence: 99%
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“…In an optimal control problem (OCP), the decision variables define the concrete system behavior, which must be consistent with the modeled system dynamics -among other constraints -over the entire optimization period. An AWE OCP can seek to maximize the average system power (De Horn, Gros, & Diehl, 2013;Leuthold et al, 2018;Licitra, Koenemann, et al, 2019;Sternberg, Goit, Gros, Meyers, & Diehl, 2012); maximize the total energy generation (Aull, Stough, & Cohen, 2020;Canale, Fagiano, & Milanese, 2010;Fernandes, Tiago Paiva, & Fontes, 2019); reward robustness on safety-critical constraints (Houska & Diehl, 2010;Saraiva, De Lellis, & Trofino, 2014;; or meet some other target. Detailed information about numerical methods for the solution of OCPs can be found in (Betts, 2010;Biegler, 2010) or in (Rawlings, Mayne, & Diehl, 2017, Chapter 8).…”
Section: Optimal Control Problemsmentioning
confidence: 99%
“…For example, (Licitra et al, 2016) specifically notes that performance predictions are highly sensitive to the applied tether drag model. For the sake of simplicity, many OCPs, e.g., (De Schutter et al, 2019;Leuthold et al, 2018;Malz, Hedenus, et al, 2020), model tethers as in-elastic, tensioned rods. This avoids the stiff dynamics that arise from elasticity and enables a straightforward tether drag estimation using known cylindrical-body coefficients.…”
Section: Some Open Modeling Questions In Awe Optimal Controlmentioning
confidence: 99%
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“…In practice, the reference trajectories are optimized off-line for a specific range of wind speeds. We aim to operate the AWE systems in below-rated from regime, the so-called region II (Leuthold et al, 2018), where the harvested power increases with the wind speed, hence we generate a library of optimal trajectories (OTL) for a range of actuator-based wind speeds U D ∈ [5.0, 12.0] with an increment ∆U D = 0.25 m/s. Figure 3 shows the different trajectories computed for the range of wind speeds.…”
Section: Generation Of Reference Trajectoriesmentioning
confidence: 99%
“…Upscaling of installed capacity per occupied area of land or sea may be implemented by staggering operational heights, thereby using AWE systems with a different tether length and inclination angles, and developing plantwide control strategies (Leuthold et al 2017(Leuthold et al , 2018.…”
Section: Upscalingmentioning
confidence: 99%