Wake effect in wind farm performance: Steady-state and dynamic behavior

Francisco Gonzalez-Longatt; F. González-Longatt; P. P. Wall; V. Terzija

doi:10.1016/j.renene.2011.08.053

Wake effect in wind farm performance: Steady-state and dynamic behavior

Francisco Gonzalez-Longatt, F. González-Longatt, P. P. Wall, V. Terzija

Research output: Contribution to journal › Article › peer-review

Abstract

The aim of this paper is to evaluate the impact of the wake effect on both the steady-state operation and dynamic performance of a wind farm and provide conclusions that can be used as thumb rules in generic assessments where the full details of the wind farms are unknown. A simplified explicit model of the wake effect is presented, which includes: the cumulative impact of multiple shadowing, the effects of wind direction and the wind speed time delay. The model is implemented in MATLAB® and then integrated into a power system simulation package to describe the wake effect and its impact on a wind farm, particularly in terms of the wake coefficient and overall active power losses. Results for two wind farm layouts are presented to illustrate the importance of wind turbine spacing and the directionality of wind speeds when assessing the wake effect during steady-state operation and dynamic behavior. © 2011 Elsevier Ltd.

Original language	English
Pages (from-to)	329-338
Number of pages	9
Journal	Renewable Energy
Volume	39
Issue number	1
DOIs	https://doi.org/10.1016/j.renene.2011.08.053
Publication status	Published - Mar 2012

Keywords

Dynamic behavior
Power system
Steady-state behavior
Steady-state wake effect
Wind farm

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.renene.2011.08.053

http://www.sciencedirect.com/science/article/pii/S0960148111005155

Cite this

@article{6a49d0244a944ff3819bf4d96959b43a,

title = "Wake effect in wind farm performance: Steady-state and dynamic behavior",

abstract = "The aim of this paper is to evaluate the impact of the wake effect on both the steady-state operation and dynamic performance of a wind farm and provide conclusions that can be used as thumb rules in generic assessments where the full details of the wind farms are unknown. A simplified explicit model of the wake effect is presented, which includes: the cumulative impact of multiple shadowing, the effects of wind direction and the wind speed time delay. The model is implemented in MATLAB{\textregistered} and then integrated into a power system simulation package to describe the wake effect and its impact on a wind farm, particularly in terms of the wake coefficient and overall active power losses. Results for two wind farm layouts are presented to illustrate the importance of wind turbine spacing and the directionality of wind speeds when assessing the wake effect during steady-state operation and dynamic behavior. {\textcopyright} 2011 Elsevier Ltd.",

keywords = "Dynamic behavior, Power system, Steady-state behavior, Steady-state wake effect, Wind farm",

author = "Francisco Gonzalez-Longatt and F. Gonz{\'a}lez-Longatt and Wall, {P. P.} and V. Terzija",

year = "2012",

month = mar,

doi = "10.1016/j.renene.2011.08.053",

language = "English",

volume = "39",

pages = "329--338",

journal = "Renewable Energy",

issn = "0960-1481",

publisher = "Elsevier BV",

number = "1",

}

TY - JOUR

T1 - Wake effect in wind farm performance: Steady-state and dynamic behavior

AU - Gonzalez-Longatt, Francisco

AU - González-Longatt, F.

AU - Wall, P. P.

AU - Terzija, V.

PY - 2012/3

Y1 - 2012/3

N2 - The aim of this paper is to evaluate the impact of the wake effect on both the steady-state operation and dynamic performance of a wind farm and provide conclusions that can be used as thumb rules in generic assessments where the full details of the wind farms are unknown. A simplified explicit model of the wake effect is presented, which includes: the cumulative impact of multiple shadowing, the effects of wind direction and the wind speed time delay. The model is implemented in MATLAB® and then integrated into a power system simulation package to describe the wake effect and its impact on a wind farm, particularly in terms of the wake coefficient and overall active power losses. Results for two wind farm layouts are presented to illustrate the importance of wind turbine spacing and the directionality of wind speeds when assessing the wake effect during steady-state operation and dynamic behavior. © 2011 Elsevier Ltd.

AB - The aim of this paper is to evaluate the impact of the wake effect on both the steady-state operation and dynamic performance of a wind farm and provide conclusions that can be used as thumb rules in generic assessments where the full details of the wind farms are unknown. A simplified explicit model of the wake effect is presented, which includes: the cumulative impact of multiple shadowing, the effects of wind direction and the wind speed time delay. The model is implemented in MATLAB® and then integrated into a power system simulation package to describe the wake effect and its impact on a wind farm, particularly in terms of the wake coefficient and overall active power losses. Results for two wind farm layouts are presented to illustrate the importance of wind turbine spacing and the directionality of wind speeds when assessing the wake effect during steady-state operation and dynamic behavior. © 2011 Elsevier Ltd.

KW - Dynamic behavior

KW - Power system

KW - Steady-state behavior

KW - Steady-state wake effect

KW - Wind farm

U2 - 10.1016/j.renene.2011.08.053

DO - 10.1016/j.renene.2011.08.053

M3 - Article

SN - 0960-1481

VL - 39

SP - 329

EP - 338

JO - Renewable Energy

JF - Renewable Energy

IS - 1

ER -

Wake effect in wind farm performance: Steady-state and dynamic behavior

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this