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author:

Liu Yixuan (Liu Yixuan.) [1] | Han Zhongkuan (Han Zhongkuan.) [2] | Guan Mingfeng (Guan Mingfeng.) [3] | Wu Guochang (Wu Guochang.) [4] | Shao Zhenguo (Shao Zhenguo.) [5] (Scholars:邵振国)

Indexed by:

CPCI-S EI Scopus

Abstract:

With the ever-increasing penetration level of wind power, its impacts on power system reliability and power quality are becoming more and more significant mainly due to the randomness and uncertainty of wind resource. For accurate express of the model about input wind speed of wind turbines, some influence factors of wind speed will be considered as noise variables, and then a model about the uncertainty of input wind speed in wind farms will be set up by affine arithmetic method. So the output power affine model of wind turbines can be calculated from the model above, attaching the requirements of power factor by the state grid, it's easy to gain the reactive power affine model. Thereupon, with the relative parts of voltage fluctuation, SVG capacity in wind farms can be reasonably optimizing and analyzing after knowing the reactive power compensation.

Keyword:

Affine input wind speed SVG uncertainty Voltage fluctuation

Community:

  • [ 1 ] [Liu Yixuan]Fuzhou Univ, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Shao Zhenguo]Fuzhou Univ, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Han Zhongkuan]State Grid Putian Elect Power Supply Co, Putian, Peoples R China
  • [ 4 ] [Guan Mingfeng]State Grid Putian Elect Power Supply Co, Putian, Peoples R China
  • [ 5 ] [Wu Guochang]Putian Li Yuan Grp Co, Putian, Peoples R China

Reprint 's Address:

  • 邵振国

    [Shao Zhenguo]Fuzhou Univ, Fuzhou, Fujian, Peoples R China

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Source :

2017 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA)

Year: 2017

Page: 509-513

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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