A multi-objective optimization approach to active power control of wind farm

Jianxiao Zou, Junping Yao, Qingze Zou, Hongbing Xu, Zhenzhen Zhang

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

With more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the wind-farm-generated power, due to the intermittent and volatile nature of the wind-farm-generated power. Therefore, control of the wind-farm power to meet the stability and quality requirements becomes important. Active control of wind-farm power, however, is challenging because the wind-farm output power can only be reliably predicted for a short period of time (i.e., ultrashort term power prediction), and large variations exist in the wind-turbine output power. In this paper, an optimal active power control scheme is proposed to maximize the running time of each wind turbine, and minimize the on-and/or-off switching of wind turbines, resulting in substantial reduction of wind-turbine wear and thereby, maintenance cost, and extension of wind-turbine lifetime, all together, a significant saving of operation cost of the whole wind farm. The proposed approach is illustrated by implementing it to the active power allocation of a wind-farm model in simulation.

Original languageEnglish (US)
Article number021026
JournalJournal of Solar Energy Engineering, Transactions of the ASME
Volume136
Issue number2
DOIs
StatePublished - May 1 2014

Fingerprint

Multiobjective optimization
Power control
Farms
Wind turbines
Costs
Wear of materials

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

Cite this

@article{6abd884104ce4201aca0b43bcf254429,
title = "A multi-objective optimization approach to active power control of wind farm",
abstract = "With more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the wind-farm-generated power, due to the intermittent and volatile nature of the wind-farm-generated power. Therefore, control of the wind-farm power to meet the stability and quality requirements becomes important. Active control of wind-farm power, however, is challenging because the wind-farm output power can only be reliably predicted for a short period of time (i.e., ultrashort term power prediction), and large variations exist in the wind-turbine output power. In this paper, an optimal active power control scheme is proposed to maximize the running time of each wind turbine, and minimize the on-and/or-off switching of wind turbines, resulting in substantial reduction of wind-turbine wear and thereby, maintenance cost, and extension of wind-turbine lifetime, all together, a significant saving of operation cost of the whole wind farm. The proposed approach is illustrated by implementing it to the active power allocation of a wind-farm model in simulation.",
author = "Jianxiao Zou and Junping Yao and Qingze Zou and Hongbing Xu and Zhenzhen Zhang",
year = "2014",
month = "5",
day = "1",
doi = "10.1115/1.4026636",
language = "English (US)",
volume = "136",
journal = "Journal of Solar Energy Engineering, Transactions of the ASME",
issn = "0199-6231",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "2",

}

A multi-objective optimization approach to active power control of wind farm. / Zou, Jianxiao; Yao, Junping; Zou, Qingze; Xu, Hongbing; Zhang, Zhenzhen.

In: Journal of Solar Energy Engineering, Transactions of the ASME, Vol. 136, No. 2, 021026, 01.05.2014.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A multi-objective optimization approach to active power control of wind farm

AU - Zou, Jianxiao

AU - Yao, Junping

AU - Zou, Qingze

AU - Xu, Hongbing

AU - Zhang, Zhenzhen

PY - 2014/5/1

Y1 - 2014/5/1

N2 - With more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the wind-farm-generated power, due to the intermittent and volatile nature of the wind-farm-generated power. Therefore, control of the wind-farm power to meet the stability and quality requirements becomes important. Active control of wind-farm power, however, is challenging because the wind-farm output power can only be reliably predicted for a short period of time (i.e., ultrashort term power prediction), and large variations exist in the wind-turbine output power. In this paper, an optimal active power control scheme is proposed to maximize the running time of each wind turbine, and minimize the on-and/or-off switching of wind turbines, resulting in substantial reduction of wind-turbine wear and thereby, maintenance cost, and extension of wind-turbine lifetime, all together, a significant saving of operation cost of the whole wind farm. The proposed approach is illustrated by implementing it to the active power allocation of a wind-farm model in simulation.

AB - With more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the wind-farm-generated power, due to the intermittent and volatile nature of the wind-farm-generated power. Therefore, control of the wind-farm power to meet the stability and quality requirements becomes important. Active control of wind-farm power, however, is challenging because the wind-farm output power can only be reliably predicted for a short period of time (i.e., ultrashort term power prediction), and large variations exist in the wind-turbine output power. In this paper, an optimal active power control scheme is proposed to maximize the running time of each wind turbine, and minimize the on-and/or-off switching of wind turbines, resulting in substantial reduction of wind-turbine wear and thereby, maintenance cost, and extension of wind-turbine lifetime, all together, a significant saving of operation cost of the whole wind farm. The proposed approach is illustrated by implementing it to the active power allocation of a wind-farm model in simulation.

UR - http://www.scopus.com/inward/record.url?scp=84894568946&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84894568946&partnerID=8YFLogxK

U2 - 10.1115/1.4026636

DO - 10.1115/1.4026636

M3 - Article

AN - SCOPUS:84894568946

VL - 136

JO - Journal of Solar Energy Engineering, Transactions of the ASME

JF - Journal of Solar Energy Engineering, Transactions of the ASME

SN - 0199-6231

IS - 2

M1 - 021026

ER -