• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2015, Vol. 36 ›› Issue (5): 111-118.doi: 10.3969/j.issn.1000-7229.2015.05.018

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Wind Resource Assessment and Wind Turbine Selection in Islands of South China Sea

XU Wu1,MENG Wenchuan2,LI Juan1, CHEN Ling1, SU Sheng1   

  1. 1. Hunan Province Key Laboratory of Smart Grids Operation and Control, Changsha University of Science and Technology,
    Changsha 410004, China;2. Electric Power Research Institute, CSG, Guangzhou 510080, China
  • Online:2015-05-01
  • Supported by:

    Project Supported by National Natural Science Foundation of China(51277013)

Abstract:

According to the demand of the development of wind power and the development and construction of islands in South China Sea, the meteorological observation data of 6 islands were investigated for the wind resource assessment and wind turbine selection, including Dongsha Islands, Xisha Islands, Nansha Islands, etc. The two-parameter Weibull distribution was utilized to assess wind power resource for each station. The capacity factors of wind turbines were estimated according to the wind power output characteristics curves of several small wind turbines. Combined with the Peak over threshold approach based on generalized Pareto extreme value distribution model, this paper estimated the extreme wind speed of 50-year recurrence interval, with using maximum likelihood estimation method. The analysis results show that: both the wind resource and extreme wind speed have obvious regional features in South China Sea. The wind resource of Dongsha Islands and Renjuntang are the highest while the wind resources in Yongxing, Shanhu, Taiping, and Nanzi Islands are much poorer. In addition, since tropical cyclones tend to occur in the higher latitude, the extreme wind speed of 50-year recurrence interval in Renjuntang Island in the southern of South China Sea is 35 m/s and much lower than that of other Islands.

Key words: offshore wind power, wind resource assessment, wind power density, maximum wind speed

CLC Number: