Koordinierte Einspeisung. Wie Einzelanlagen lernen im Parkverbund optimal zu arbeiten.
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1 Stuttgarter Lehrstuhl für Windenergie (SWE) am Institut für Flugzeugbau Koordinierte Einspeisung. Wie Einzelanlagen lernen im Parkverbund optimal zu arbeiten. Steffen Raach Universität Stuttgart
2 Introduction Noth Sea situation Source: BMWI - Offshore wind energy, 2015 Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
3 Introduction What is the problem? Wind farms A control engineering perspective. Advantages 1. Costs of the electricity grid 2. Maintenance costs 3. Land pollution Disadvantages 1. Less energy production 2. Structural loading 3. Energy quality Horns Rev wind farm. Photo by C. Steiness. Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
4 Introduction What is the problem? Wind farms A control engineering perspective. Power maximation Grid services Horns Rev wind farm. Photo by C. Steiness. Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
5 Outline 1. Introduction 2. Wind farm control: Concepts and challenges sensors actuators Example: power maximization Example: grid services 3. sowento: From theoretical concept to practice 4. Summary Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
6 Wind farm control: Concepts and challenges Energy yield: P i = 1 2 ρπr2 3 c p v i v i Thrust: F i = 1 2 ρπr2 2 c T v i v i Horns Rev wind farm. Photo by C. Steiness. Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
7 Wind farm control: concepts and challenges inputs outputs Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
8 Wind farm control: Concepts and challenges sensors Use turbines as sensors (observer) Additional sensors: lidar Photo by SWE. Photo by Andrew Scholbrock, NREL Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
9 Wind farm control: Concepts and challenges wake actuation methods Axial-induction-based control. Wake redirection control. Horns Rev wind farm. Photo by C. Steiness. Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
10 Wind farm control: Concepts and challenges power maximization Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
11 Wind farm control: Concepts and challenges power maximization Benefits: increased energy yield more flexibility in layout design for future wind farms Challenges: model accuracy implementation P. M. O. Gebraad et al. (2014). Wind plant power optimization through yaw control using a parametric model for wake effects - a CFD simulation study Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
12 Wind farm control: Concepts and challenges grid services Question: active power control intelligent power curtailment predictability of power yield Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
13 Wind farm control: Concepts and challenges grid services energy yield power reference Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
14 From theoretical concept to practice expert knowledge sowento TTI - Technologie-Transfer-Initiative GmbH an der Universität Stuttgart Nobelstraße 15, Stuttgart engineering services advanced control solutions
15 sowento - vision From concept to practice controller design and implementation lidar services floating wind turbine design synthesis Photo from DTU-USTUTT-CENER Triple Spar test campaign at DHI in 2016
16 Summary general concepts of wind farm control challenges in sensors and actuation two examples: power maximization, active power control Universität Stuttgart, Stuttgarter Lehrstuhl für Windenergie am Institut für Flugzeugbau
17 Vielen Dank! Steffen Raach Telefon +49 (0) Fax +49 (0) Acknowledgments The control group of TU Delft, with Prof. Jan- Willem van Wingerden is acknowledged. sowento TTI GmbH: Universität Stuttgart
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