Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines

Extreme weather like typhoon leaves significantly terrible influence on the stability of power grid in the coastal area. A high-voltage transmission line includes hundreds of towers and usually stretches hundreds of kilometers. It is not economical to install typhoon monitoring system throughout the...

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Autores principales:	Liqiang An, Yongyu Guan, Zhijian Zhu, Jingli Liu, Zhuobo Niu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Typhoon inversion method transmission lines meteorological monitoring system wind field genetic algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b6df18ddb0bd477fa1db0edcd4836da2
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spelling	oai:doaj.org-article:b6df18ddb0bd477fa1db0edcd4836da22021-11-19T00:06:44ZTyphoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines2169-353610.1109/ACCESS.2020.3044419https://doaj.org/article/b6df18ddb0bd477fa1db0edcd4836da22021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9292908/https://doaj.org/toc/2169-3536Extreme weather like typhoon leaves significantly terrible influence on the stability of power grid in the coastal area. A high-voltage transmission line includes hundreds of towers and usually stretches hundreds of kilometers. It is not economical to install typhoon monitoring system throughout the transmission line. This paper proposes a typhoon inversion method (TIM) for transmission line which utilizes engineering wind field model and only requires monitoring data from a few towers. The developed method is called YanMeng wind field (YM) with directional mutation genetic algorithm (DMGA) for transmission lines, or YM-DMGA method. DMGA utilizes real-time monitoring data, and improves simulation accuracy of average wind speed by dynamically optimizing two critical parameters <inline-formula> <tex-math notation="LaTeX">$B$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$z_{0}$ </tex-math></inline-formula> in wind field model, which is a great improvement over the traditional YM model relying on historical data. The TIM is mainly composed of three parts, the meteorological monitoring system (MMS), the YM-DMGA model, and the software system. The TIM collects real-time measured wind data of particular monitoring stations through the MMS. Meanwhile, wind data of the whole transmission line is simulated using the YM-DMGA and displayed by the software system. Then the method proposed is verified to be effective in three aspects. First of all, the YM-DMGA method has great enhancement in accuracy, for the coefficient of determination <inline-formula> <tex-math notation="LaTeX">$R_{square}$ </tex-math></inline-formula> increases from 0.811 to 0.986. Secondly, DMGA in the method has quicker convergent speed than typical GA, with fitness converged in the 269<sup>th</sup> epoch, earlier than that for typical GA, 656<sup>th</sup> epoch. Lastly, DMGA has better optimal fitness value of 0.6239, bigger than that of typical GA, 0.5891. At the end of the paper, an application of the method to an 110kV double-circuit transmission line is presented to reveal the risk under the impact of the super typhoon Rammasun.Liqiang AnYongyu GuanZhijian ZhuJingli LiuZhuobo NiuIEEEarticleTyphoon inversion methodtransmission linesmeteorological monitoring systemwind fieldgenetic algorithmElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 619-630 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Typhoon inversion method transmission lines meteorological monitoring system wind field genetic algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Typhoon inversion method transmission lines meteorological monitoring system wind field genetic algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971 Liqiang An Yongyu Guan Zhijian Zhu Jingli Liu Zhuobo Niu Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
description	Extreme weather like typhoon leaves significantly terrible influence on the stability of power grid in the coastal area. A high-voltage transmission line includes hundreds of towers and usually stretches hundreds of kilometers. It is not economical to install typhoon monitoring system throughout the transmission line. This paper proposes a typhoon inversion method (TIM) for transmission line which utilizes engineering wind field model and only requires monitoring data from a few towers. The developed method is called YanMeng wind field (YM) with directional mutation genetic algorithm (DMGA) for transmission lines, or YM-DMGA method. DMGA utilizes real-time monitoring data, and improves simulation accuracy of average wind speed by dynamically optimizing two critical parameters <inline-formula> <tex-math notation="LaTeX">$B$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$z_{0}$ </tex-math></inline-formula> in wind field model, which is a great improvement over the traditional YM model relying on historical data. The TIM is mainly composed of three parts, the meteorological monitoring system (MMS), the YM-DMGA model, and the software system. The TIM collects real-time measured wind data of particular monitoring stations through the MMS. Meanwhile, wind data of the whole transmission line is simulated using the YM-DMGA and displayed by the software system. Then the method proposed is verified to be effective in three aspects. First of all, the YM-DMGA method has great enhancement in accuracy, for the coefficient of determination <inline-formula> <tex-math notation="LaTeX">$R_{square}$ </tex-math></inline-formula> increases from 0.811 to 0.986. Secondly, DMGA in the method has quicker convergent speed than typical GA, with fitness converged in the 269<sup>th</sup> epoch, earlier than that for typical GA, 656<sup>th</sup> epoch. Lastly, DMGA has better optimal fitness value of 0.6239, bigger than that of typical GA, 0.5891. At the end of the paper, an application of the method to an 110kV double-circuit transmission line is presented to reveal the risk under the impact of the super typhoon Rammasun.
format	article
author	Liqiang An Yongyu Guan Zhijian Zhu Jingli Liu Zhuobo Niu
author_facet	Liqiang An Yongyu Guan Zhijian Zhu Jingli Liu Zhuobo Niu
author_sort	Liqiang An
title	Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
title_short	Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
title_full	Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
title_fullStr	Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
title_full_unstemmed	Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines
title_sort	typhoon inversion method combined with the yanmeng wind field and a meteorological monitoring system for transmission lines
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/b6df18ddb0bd477fa1db0edcd4836da2
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Typhoon Inversion Method Combined With the YanMeng Wind Field and a Meteorological Monitoring System for Transmission Lines

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