Positive effect of wind farm control on energy production and revenue in European markets
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DOI: 10.1016/j.energy.2025.136159
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- He, Ruiyang & Deng, Xiaowei & Li, Yichun & Dong, Zhikun & Gao, Xiaoxia & Lu, Lin & Zhou, Yue & Wu, Jianzhong & Yang, Hongxing, 2023. "Three-dimensional yaw wake model development with validations from wind tunnel experiments," Energy, Elsevier, vol. 282(C).
- Wang, Wenwen & Kong, Xiaobing & Li, Gangqiang & Liu, Xiangjie & Ma, Lele & Liu, Wenting & Lee, Kwang Y., 2024. "Wind farm control using distributed economic MPC scheme under the influence of wake effect," Energy, Elsevier, vol. 309(C).
- Brancucci Martinez-Anido, Carlo & Brinkman, Greg & Hodge, Bri-Mathias, 2016. "The impact of wind power on electricity prices," Renewable Energy, Elsevier, vol. 94(C), pages 474-487.
- Jansen, Malte & Beiter, Philipp & Riepin, Iegor & Müsgens, Felix & Guajardo-Fajardo, Victor Juarez & Staffell, Iain & Bulder, Bernard & Kitzing, Lena, 2022.
"Policy choices and outcomes for offshore wind auctions globally,"
Energy Policy, Elsevier, vol. 167(C).
- Malte Jansen & Philipp Beiter & Iegor Riepin & Felix Muesgens & Victor Juarez Guajardo-Fajardo & Iain Staffell & Bernard Bulder & Lena Kitzing, 2022. "Policy choices and outcomes for offshore wind auctions globally," Papers 2202.12548, arXiv.org, revised Apr 2022.
- Kim, Taewan & Kim, Changwook & Song, Jeonghwan & You, Donghyun, 2024. "Optimal control of a wind farm in time-varying wind using deep reinforcement learning," Energy, Elsevier, vol. 303(C).
- van der Hoek, Daan & Kanev, Stoyan & Allin, Julian & Bieniek, David & Mittelmeier, Niko, 2019. "Effects of axial induction control on wind farm energy production - A field test," Renewable Energy, Elsevier, vol. 140(C), pages 994-1003.
- Huang, Zishuo & Wu, Wenchuan, 2024. "An efficient solution for large offshore wind farm power optimization with the Porté-Agel wake model: Optimality and efficiency," Energy, Elsevier, vol. 306(C).
- Amin Niayifar & Fernando Porté-Agel, 2016. "Analytical Modeling of Wind Farms: A New Approach for Power Prediction," Energies, MDPI, vol. 9(9), pages 1-13, September.
- Jens Nørkær Sørensen & Gunner Christian Larsen, 2021. "A Minimalistic Prediction Model to Determine Energy Production and Costs of Offshore Wind Farms," Energies, MDPI, vol. 14(2), pages 1-27, January.
- Sun, Jili & Yang, Jingqing & Jiang, Zezhong & Xu, JinFeng & Meng, Xiaofei & Feng, Xiaoguang & Si, Yulin & Zhang, Dahai, 2024. "Wake redirection control for offshore wind farm power and fatigue multi-objective optimisation based on a wind turbine load indicator," Energy, Elsevier, vol. 313(C).
- Wim Munters & Johan Meyers, 2018. "Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization," Energies, MDPI, vol. 11(1), pages 1-32, January.
- Prokhorov, Oleksandr & Dreisbach, Dina, 2022. "The impact of renewables on the incidents of negative prices in the energy spot markets," Energy Policy, Elsevier, vol. 167(C).
- Chae-Wook Lim, 2024. "A Study of a Gain-Scheduled Individual Pitch Controller for an NREL 5 MW Wind Turbine," Energies, MDPI, vol. 17(1), pages 1-12, January.
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- Adam Rasiński & Ziemowit Malecha, 2025. "Wake Losses, Productivity, and Cost Analysis of a Polish Offshore Wind Farm in the Baltic Sea," Energies, MDPI, vol. 18(15), pages 1-21, August.
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- Simshauser, P., 2023. "On Static vs. Dynamic Line Ratings in Renewable Energy Zones," Cambridge Working Papers in Economics 2362, Faculty of Economics, University of Cambridge.
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