Effectiveness of optimized control strategy and different hub height turbines on a real wind farm optimization

RENEWABLE ENERGY

卷:126

Article

Wang, Longyan^1,2  Cholette, Michael E.²  Zhou, Yunkai¹  Yuan, Jianping¹  Tan, Andy C. C.³  Gu, Yuantong² 

[1] Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Jiangsu, Peoples R China

[2] Queensland Univ Technol, Sch Chem Phys & Mech Engn, Brisbane, Qld 4001, Australia

[3] Univ Tunku Abdul Rahman, LKC Fac Engn & Sci, Kajang 43000, Selangor, Malaysia

关键词: Wind farm;    Layout optimization;    Optimized control strategy;    Self-optimum control strategy;    Different hub heights;   

DOI  :  10.1016/j.renene.2018.04.004

来源: Elsevier

【 摘 要 】

In this paper, a real wind farm layout optimization is carried out by applying the novel optimized wind farm control strategy (coordinating wind turbine operations by setting different axial induction values) and multiple wind turbine hub height selections. The unrestricted coordinate method (using Cartesian coordinates to determine wind turbine positions) is applied to study the effectiveness of different wind farm control strategies and wind turbine hub heights on the wind farm optimization. Means of handling the irregular boundary constraints and calculating the wind speed over non-flat terrain at different heights are proposed for the real wind farm. The results show that the optimized control strategy can always yield better results than the self-optimum control strategy, achieving a smaller cost of energy production and a larger wind farm efficiency. Quantitatively, the optimized control strategy yields approximately 9 kW more power per turbine than the self-optimum control strategy and reduces the cost of energy by 0.08 million dollars per megawatt with 39 wind turbines installed. The application of different hub height turbines facilitates to place wind turbines more flexibly achieving better optimization results than that with constant hub height turbines. (C) 2018 Elsevier Ltd. All rights reserved.

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