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

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Resumé

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.
OriginalsprogEngelsk
Artikelnummer395
TidsskriftEnergies
Vol/bind10
Udgave nummer3
Antal sider19
ISSN1996-1073
DOI
StatusUdgivet - mar. 2017

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Wind Turbine
Wake
Wind turbines
Farms
Power generation
Curve
Angle
Design
Estimation Error
Error analysis
Annual
Layout
Optimal Control
Optimization
Line
Energy
Model

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title = "Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect",
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",
author = "Jie Tian and Dao Zhou and Chi Su and {N. Soltani}, Mohsen and Zhe Chen and Frede Blaabjerg",
year = "2017",
month = "3",
doi = "10.3390/en10030395",
language = "English",
volume = "10",
journal = "Energies",
issn = "1996-1073",
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Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect. / Tian, Jie; Zhou, Dao; Su, Chi; N. Soltani, Mohsen; Chen, Zhe; Blaabjerg, Frede.

I: Energies, Bind 10, Nr. 3, 395, 03.2017.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect

AU - Tian, Jie

AU - Zhou, Dao

AU - Su, Chi

AU - N. Soltani, Mohsen

AU - Chen, Zhe

AU - Blaabjerg, Frede

PY - 2017/3

Y1 - 2017/3

N2 - 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.

AB - 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.

KW - Maximum power point tracking (MPPT)

KW - Optimization

KW - Wake effect

KW - Wind power generation

KW - Wind farms

U2 - 10.3390/en10030395

DO - 10.3390/en10030395

M3 - Journal article

VL - 10

JO - Energies

JF - Energies

SN - 1996-1073

IS - 3

M1 - 395

ER -