Coordinated Operation Strategy of Wind Farms for Frequency Control by Exploring Wake Interaction

Ahmadyar, Ahmad Shabir; Verbič, Gregor

doi:10.1109/tste.2016.2593910

Cited by 73 publications

(83 citation statements)

References 27 publications

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“…The work of Wang et al [22] using the Park model [17] for calculating the wake velocities considered the simultaneous optimization of the layout as well as the axial induction of the turbines in a wind farm, and reported minor improvements in wind farm efficiency for the optimized case. A few studies such as [8,[23][24][25][26]] also used analytical wake models to develop control strategies for purposes such as minimizing structural loads, participating in grid frequency control, conforming power generation to grid requirements etc., sometimes in addition to maximizing power generation of wind farms. These methods of analyzing wake mitigation via blade pitch control are computationally cheap, especially when considering the optimization required for large wind farms.…”

Section: Introductionmentioning

confidence: 99%

Wind Turbine Wake Mitigation through Blade Pitch Offset

Dilip

Porté‐Agel

2017

Energies

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Abstract:The reduction in power output associated with complex turbine-wake interactions in wind farms necessitates the development of effective wake mitigation strategies. One approach to this end entails the downregulation of individual turbines from its maximum power point with the objective of optimizing the overall wind farm productivity. Downregulation via blade pitch offset has been of interest as a potential strategy, though the viability of this method is still not clear, especially in regard to its sensitivity to ambient turbulence. In this study, large-eddy simulations of a two-turbine arrangement, with the second turbine in the full wake of the first, were performed. The effects of varying the blade pitch angle of the upstream turbine on its wake characteristics, as well as the combined power of the two, were investigated. Of specific interest was the effect of turbulence intensity of the inflow on the efficacy of this method. Results showed enhanced wake recovery associated with pitching to stall, as opposed to pitching to feather, which delayed wake recovery. The increased wake recovery resulted in a noticeable increase in the power of the two-turbine configuration, only in conditions characterized by low turbulence in the incoming flow. Nevertheless, the low turbulence scenarios where the use of this method is favorable, are expected in realistic wind farms, suggesting its possible application for improved power generation.

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Section: Introductionmentioning

confidence: 99%

Wind Turbine Wake Mitigation through Blade Pitch Offset

Dilip

Porté‐Agel

2017

Energies

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“…The operating point optimization of de‐loaded WTs has been addressed in References . The objective of the optimization proposed in Reference is to reduce the power losses in the generator stator and the conduction losses of the converter.…”

Section: Introductionmentioning

confidence: 99%

“…The objective of the optimization proposed in Reference is to reduce the power losses in the generator stator and the conduction losses of the converter. In References , the operating point optimization aims to maximize the amount of kinetic energy stored in the WT. Additionally, the wake effect is considered in References 20 and 21 to determine the WT operating point.…”

Section: Introductionmentioning

confidence: 99%

“…In References , the operating point optimization aims to maximize the amount of kinetic energy stored in the WT. Additionally, the wake effect is considered in References 20 and 21 to determine the WT operating point. A constant de‐loading factor is considered in References 18, 20, and 21 and the VSG control technique is not employed in References .…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the wake effect is considered in References 20 and 21 to determine the WT operating point. A constant de‐loading factor is considered in References 18, 20, and 21 and the VSG control technique is not employed in References . Different from the approaches based on a constant de‐loading factor or a constant value for the power margin, the approach herein proposed considers a variable de‐loading factor defined by the system operator.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Operating point optimization of wind turbine generators for provision of inertial response and frequency control

Tessaro¹,

Oliveira²

2020

Int Trans Electr Energ Syst

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Summary Inertial and frequency control approaches for wind turbine generators have proven to be effective in mitigating the frequency control and stability problems inherent to power systems and microgrids with high penetration levels of wind generation. This paper proposes an optimization formulation to determine the operating point of de‐loaded wind turbines in order to improve the mechanical dynamics of the wind turbine‐generator set. Such operating point optimization reduces the speed deviation magnitude and settling time of the wind turbine caused by the action of inertial and frequency control. The optimization approach is integrated into a combined inertial and frequency control approach for type‐4 wind turbine generators. The optimized control approach, based on the concept of virtual synchronous generator, may extend the inertial response and frequency control capabilities of type‐4 wind turbine generators, thus improving the transient and steady‐state frequency performance of high wind penetrated power systems.

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Introduction

2021

Renewable Integrated Power System Stability and Control

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Coordinated Operation Strategy of Wind Farms for Frequency Control by Exploring Wake Interaction

Cited by 73 publications

References 27 publications

Wind Turbine Wake Mitigation through Blade Pitch Offset

Wind Turbine Wake Mitigation through Blade Pitch Offset

Operating point optimization of wind turbine generators for provision of inertial response and frequency control

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