Active power dispatch optimization for offshore wind farms considering fatigue distribution

Hao Liao, Weihao Hu*, Xiawei Wu, Ni Zhang, Zhou Liu, Qi Huang, Cong Chen, Zhe Chen

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

As the emergence of large-scale offshore wind farms (WFs), how to reduce the high cost of them has become a critical problem. One way is to decrease the maintenance cost, another way is to capture more wind energy. Herein, an optimised WF active power dispatch (APD) strategy is proposed to make WF capture the maximum wind energy while balancing the fatigue distribution of WF, which is closely related to the WF maintenance frequency. In addition, two traditional strategies are introduced as comparisons of the proposed strategy. And the result of strategy A is used as a benchmark for comparison. This paper takes fatigue coefficient to evaluate the fatigue load suffered by wind turbines (WT). Particle swarm optimization (PSO) is adopted to solve this problem. Simulations are conducted based on a regular shaped WF with 25 WTs and an irregular shaped WF with 80 WTs. The results of case studies prove the superiority of the strategy formulated herein.
OriginalsprogEngelsk
TidsskriftRenewable Energy
ISSN0960-1481
DOI
StatusE-pub ahead of print - 2020

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Offshore wind farms
Fatigue of materials
Wind power
Wind turbines
Particle swarm optimization (PSO)
Costs

Citer dette

Liao, Hao ; Hu, Weihao ; Wu, Xiawei ; Zhang, Ni ; Liu, Zhou ; Huang, Qi ; Chen, Cong ; Chen, Zhe. / Active power dispatch optimization for offshore wind farms considering fatigue distribution. I: Renewable Energy. 2020.
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title = "Active power dispatch optimization for offshore wind farms considering fatigue distribution",
abstract = "As the emergence of large-scale offshore wind farms (WFs), how to reduce the high cost of them has become a critical problem. One way is to decrease the maintenance cost, another way is to capture more wind energy. Herein, an optimised WF active power dispatch (APD) strategy is proposed to make WF capture the maximum wind energy while balancing the fatigue distribution of WF, which is closely related to the WF maintenance frequency. In addition, two traditional strategies are introduced as comparisons of the proposed strategy. And the result of strategy A is used as a benchmark for comparison. This paper takes fatigue coefficient to evaluate the fatigue load suffered by wind turbines (WT). Particle swarm optimization (PSO) is adopted to solve this problem. Simulations are conducted based on a regular shaped WF with 25 WTs and an irregular shaped WF with 80 WTs. The results of case studies prove the superiority of the strategy formulated herein.",
keywords = "Active power dispatch (APD), Particle swarm optimization (PSO), Fatigue distribution, Wind farm, Optimization",
author = "Hao Liao and Weihao Hu and Xiawei Wu and Ni Zhang and Zhou Liu and Qi Huang and Cong Chen and Zhe Chen",
year = "2020",
doi = "10.1016/j.renene.2019.11.132",
language = "English",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Pergamon Press",

}

Active power dispatch optimization for offshore wind farms considering fatigue distribution. / Liao, Hao; Hu, Weihao; Wu, Xiawei; Zhang, Ni; Liu, Zhou; Huang, Qi; Chen, Cong; Chen, Zhe.

I: Renewable Energy, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Active power dispatch optimization for offshore wind farms considering fatigue distribution

AU - Liao, Hao

AU - Hu, Weihao

AU - Wu, Xiawei

AU - Zhang, Ni

AU - Liu, Zhou

AU - Huang, Qi

AU - Chen, Cong

AU - Chen, Zhe

PY - 2020

Y1 - 2020

N2 - As the emergence of large-scale offshore wind farms (WFs), how to reduce the high cost of them has become a critical problem. One way is to decrease the maintenance cost, another way is to capture more wind energy. Herein, an optimised WF active power dispatch (APD) strategy is proposed to make WF capture the maximum wind energy while balancing the fatigue distribution of WF, which is closely related to the WF maintenance frequency. In addition, two traditional strategies are introduced as comparisons of the proposed strategy. And the result of strategy A is used as a benchmark for comparison. This paper takes fatigue coefficient to evaluate the fatigue load suffered by wind turbines (WT). Particle swarm optimization (PSO) is adopted to solve this problem. Simulations are conducted based on a regular shaped WF with 25 WTs and an irregular shaped WF with 80 WTs. The results of case studies prove the superiority of the strategy formulated herein.

AB - As the emergence of large-scale offshore wind farms (WFs), how to reduce the high cost of them has become a critical problem. One way is to decrease the maintenance cost, another way is to capture more wind energy. Herein, an optimised WF active power dispatch (APD) strategy is proposed to make WF capture the maximum wind energy while balancing the fatigue distribution of WF, which is closely related to the WF maintenance frequency. In addition, two traditional strategies are introduced as comparisons of the proposed strategy. And the result of strategy A is used as a benchmark for comparison. This paper takes fatigue coefficient to evaluate the fatigue load suffered by wind turbines (WT). Particle swarm optimization (PSO) is adopted to solve this problem. Simulations are conducted based on a regular shaped WF with 25 WTs and an irregular shaped WF with 80 WTs. The results of case studies prove the superiority of the strategy formulated herein.

KW - Active power dispatch (APD)

KW - Particle swarm optimization (PSO)

KW - Fatigue distribution

KW - Wind farm

KW - Optimization

U2 - 10.1016/j.renene.2019.11.132

DO - 10.1016/j.renene.2019.11.132

M3 - Journal article

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -