Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect

Jie Tian, Dao Zhou, Chi Su, Mohsen Soltani, Zhe Chen and Frede Blaabjerg
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Jie Tian: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Dao Zhou: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Chi Su: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Mohsen Soltani: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Zhe Chen: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Frede Blaabjerg: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark

Energies, 2017, vol. 10, issue 3, 1-19

Abstract: In modern wind farms, maximum power point tracking (MPPT) is widely implemented. Using the MPPT method, each individual wind turbine is controlled by its pitch angle and tip speed ratio to generate the maximum active power. In a wind farm, the upstream wind turbine may cause power loss to its downstream wind turbines due to the wake effect. According to the wake model, downstream power loss is also determined by the pitch angle and tip speed ratio of the upstream wind turbine. By optimizing the pitch angle and tip speed ratio of each wind turbine, the total active power of the wind farm can be increased. In this paper, the optimal pitch angle and tip speed ratio are selected for each wind turbine by the exhausted search. Considering the estimation error of the wake model, a solution to implement the optimized pitch angle and tip speed ratio is proposed, which is to generate the optimal control curves for each individual wind turbine off-line. In typical wind farms with regular layout, based on the detailed analysis of the influence of pitch angle and tip speed ratio on the total active power of the wind farm by the exhausted search, the optimization is simplified with the reduced computation complexity. By using the optimized control curves, the annual energy production ( AEP ) is increased by 1.03% compared to using the MPPT method in a case-study of a typical eighty-turbine wind farm.

Keywords: maximum power point tracking (MPPT); optimization; wake effect; wind power generation; wind farms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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