Coordinated optimal control of active power of wind farms considering wake effect

In a large-scale wind farm, under the influence of the wake effect, the single-machine maximum power extraction control strategy would not be able to function at the ideal optimal value. It is important to study the coordinated operation strategy of the wind farm under the wake effect to improve the...

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Autores principales:	Yu Shen, Tannan Xiao, Qifeng Lv, Xuemin Zhang, Yangfan Zhang, Yimei Wang, Jinfang Wu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Wake effect Coordinated operation strategy Particle swarm optimization Pattern search algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/6369462353a645878e39770a626839f6
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spelling	oai:doaj.org-article:6369462353a645878e39770a626839f62021-12-04T04:35:07ZCoordinated optimal control of active power of wind farms considering wake effect2352-484710.1016/j.egyr.2021.11.132https://doaj.org/article/6369462353a645878e39770a626839f62022-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721012798https://doaj.org/toc/2352-4847In a large-scale wind farm, under the influence of the wake effect, the single-machine maximum power extraction control strategy would not be able to function at the ideal optimal value. It is important to study the coordinated operation strategy of the wind farm under the wake effect to improve the output power of wind farms and improve the economic benefit. In this paper, a practical wake model called the PARK model is used and a wake superposition model based on energy balance is derived. Based on these models, an optimization problem is formulated to maximize the output power of the wind farm considering the wake effect. Taking the Horns Rev offshore wind farm as an example, the stochastic points method, particle swarm optimization, and the pattern search algorithm are implemented and compared with the single-machine maximum power extraction algorithm. Test results show that the particle swarm optimization and the pattern search algorithm have better performance. The output power of the wind farm increases by about 10 percent. The particle swarm optimization requires less computation while the pattern search algorithm obtains better and more practical results. Finally, the pattern search algorithm is used to improve economic benefits under different wind conditions.Yu ShenTannan XiaoQifeng LvXuemin ZhangYangfan ZhangYimei WangJinfang WuElsevierarticleWake effectCoordinated operation strategyParticle swarm optimizationPattern search algorithmElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 84-90 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Wake effect Coordinated operation strategy Particle swarm optimization Pattern search algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Wake effect Coordinated operation strategy Particle swarm optimization Pattern search algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yu Shen Tannan Xiao Qifeng Lv Xuemin Zhang Yangfan Zhang Yimei Wang Jinfang Wu Coordinated optimal control of active power of wind farms considering wake effect
description	In a large-scale wind farm, under the influence of the wake effect, the single-machine maximum power extraction control strategy would not be able to function at the ideal optimal value. It is important to study the coordinated operation strategy of the wind farm under the wake effect to improve the output power of wind farms and improve the economic benefit. In this paper, a practical wake model called the PARK model is used and a wake superposition model based on energy balance is derived. Based on these models, an optimization problem is formulated to maximize the output power of the wind farm considering the wake effect. Taking the Horns Rev offshore wind farm as an example, the stochastic points method, particle swarm optimization, and the pattern search algorithm are implemented and compared with the single-machine maximum power extraction algorithm. Test results show that the particle swarm optimization and the pattern search algorithm have better performance. The output power of the wind farm increases by about 10 percent. The particle swarm optimization requires less computation while the pattern search algorithm obtains better and more practical results. Finally, the pattern search algorithm is used to improve economic benefits under different wind conditions.
format	article
author	Yu Shen Tannan Xiao Qifeng Lv Xuemin Zhang Yangfan Zhang Yimei Wang Jinfang Wu
author_facet	Yu Shen Tannan Xiao Qifeng Lv Xuemin Zhang Yangfan Zhang Yimei Wang Jinfang Wu
author_sort	Yu Shen
title	Coordinated optimal control of active power of wind farms considering wake effect
title_short	Coordinated optimal control of active power of wind farms considering wake effect
title_full	Coordinated optimal control of active power of wind farms considering wake effect
title_fullStr	Coordinated optimal control of active power of wind farms considering wake effect
title_full_unstemmed	Coordinated optimal control of active power of wind farms considering wake effect
title_sort	coordinated optimal control of active power of wind farms considering wake effect
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/6369462353a645878e39770a626839f6
work_keys_str_mv	AT yushen coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect AT tannanxiao coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect AT qifenglv coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect AT xueminzhang coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect AT yangfanzhang coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect AT yimeiwang coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect AT jinfangwu coordinatedoptimalcontrolofactivepowerofwindfarmsconsideringwakeeffect
_version_	1718372970310664192

Coordinated optimal control of active power of wind farms considering wake effect

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