Optimal Power Dispatch of an Offshore Wind Farm under Generator Fault

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Resumé

For offshore wind farms, the power loss caused by the wake effect is large due to the large capacity of the wind turbine. At the same time, the operating environment of the offshore wind farm is very harsh, and the cost of maintenance is higher than that of the onshore wind farm. Therefore, it is worthwhile to study through reasonable control how to reduce the wake loss of the wind farm and minimize the losses caused by the fault. In this paper, the Particle Swarm Optimization (PSO) algorithm is used to optimize the active power dispatch of wind farms under generator cooling system faults. The optimization objectives include avoiding the further deterioration of the generator fault, reducing unnecessary power loss of the faulty wind turbine, tracking the power demand from the Transmission System Operator (TSO), and reducing the power fluctuation caused by the PSO algorithm. The proposed optimal power dispatch strategy was compared with the two generally-used fault-handling methods and the proportional dispatch strategy in simulation. The result shows that the proposed strategy can improve the power generation capacity of the wind farm and achieve
an efficient trade-off between power generation and fault protection.
OriginalsprogEngelsk
TidsskriftApplied Sciences
Vol/bind9
Udgave nummer6
Antal sider17
DOI
StatusUdgivet - mar. 2019

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Offshore wind farms
Wind turbines
Particle swarm optimization (PSO)
Power generation
Onshore wind farms
Cooling systems
Deterioration
Costs

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@article{84a66f1fe8de48aa8c03fb6021bb68cd,
title = "Optimal Power Dispatch of an Offshore Wind Farm under Generator Fault",
abstract = "For offshore wind farms, the power loss caused by the wake effect is large due to the large capacity of the wind turbine. At the same time, the operating environment of the offshore wind farm is very harsh, and the cost of maintenance is higher than that of the onshore wind farm. Therefore, it is worthwhile to study through reasonable control how to reduce the wake loss of the wind farm and minimize the losses caused by the fault. In this paper, the Particle Swarm Optimization (PSO) algorithm is used to optimize the active power dispatch of wind farms under generator cooling system faults. The optimization objectives include avoiding the further deterioration of the generator fault, reducing unnecessary power loss of the faulty wind turbine, tracking the power demand from the Transmission System Operator (TSO), and reducing the power fluctuation caused by the PSO algorithm. The proposed optimal power dispatch strategy was compared with the two generally-used fault-handling methods and the proportional dispatch strategy in simulation. The result shows that the proposed strategy can improve the power generation capacity of the wind farm and achievean efficient trade-off between power generation and fault protection.",
keywords = "Wind energy, Power dispatch, Offshore wind farm, Particle swarm optimization, Fault accommodation",
author = "Kuichao Ma and jiangsheng zhu and {N. Soltani}, Mohsen and Amin Hajizadeh and Zhe Chen",
year = "2019",
month = "3",
doi = "10.3390/app9061184",
language = "English",
volume = "9",
journal = "Applied Sciences",
issn = "2076-3417",
publisher = "MDPI AG",
number = "6",

}

Optimal Power Dispatch of an Offshore Wind Farm under Generator Fault. / Ma, Kuichao; zhu, jiangsheng; N. Soltani, Mohsen; Hajizadeh, Amin; Chen, Zhe.

I: Applied Sciences, Bind 9, Nr. 6, 03.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Optimal Power Dispatch of an Offshore Wind Farm under Generator Fault

AU - Ma, Kuichao

AU - zhu, jiangsheng

AU - N. Soltani, Mohsen

AU - Hajizadeh, Amin

AU - Chen, Zhe

PY - 2019/3

Y1 - 2019/3

N2 - For offshore wind farms, the power loss caused by the wake effect is large due to the large capacity of the wind turbine. At the same time, the operating environment of the offshore wind farm is very harsh, and the cost of maintenance is higher than that of the onshore wind farm. Therefore, it is worthwhile to study through reasonable control how to reduce the wake loss of the wind farm and minimize the losses caused by the fault. In this paper, the Particle Swarm Optimization (PSO) algorithm is used to optimize the active power dispatch of wind farms under generator cooling system faults. The optimization objectives include avoiding the further deterioration of the generator fault, reducing unnecessary power loss of the faulty wind turbine, tracking the power demand from the Transmission System Operator (TSO), and reducing the power fluctuation caused by the PSO algorithm. The proposed optimal power dispatch strategy was compared with the two generally-used fault-handling methods and the proportional dispatch strategy in simulation. The result shows that the proposed strategy can improve the power generation capacity of the wind farm and achievean efficient trade-off between power generation and fault protection.

AB - For offshore wind farms, the power loss caused by the wake effect is large due to the large capacity of the wind turbine. At the same time, the operating environment of the offshore wind farm is very harsh, and the cost of maintenance is higher than that of the onshore wind farm. Therefore, it is worthwhile to study through reasonable control how to reduce the wake loss of the wind farm and minimize the losses caused by the fault. In this paper, the Particle Swarm Optimization (PSO) algorithm is used to optimize the active power dispatch of wind farms under generator cooling system faults. The optimization objectives include avoiding the further deterioration of the generator fault, reducing unnecessary power loss of the faulty wind turbine, tracking the power demand from the Transmission System Operator (TSO), and reducing the power fluctuation caused by the PSO algorithm. The proposed optimal power dispatch strategy was compared with the two generally-used fault-handling methods and the proportional dispatch strategy in simulation. The result shows that the proposed strategy can improve the power generation capacity of the wind farm and achievean efficient trade-off between power generation and fault protection.

KW - Wind energy

KW - Power dispatch

KW - Offshore wind farm

KW - Particle swarm optimization

KW - Fault accommodation

U2 - 10.3390/app9061184

DO - 10.3390/app9061184

M3 - Journal article

VL - 9

JO - Applied Sciences

JF - Applied Sciences

SN - 2076-3417

IS - 6

ER -