Electric Power ›› 2020, Vol. 53 ›› Issue (7): 18-23.DOI: 10.11930/j.issn.1004-9649.201908005

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Output and Fluctuation Characteristics of Off-shore, Coastal and Inland Wind Farms in Jiangsu Province

ZHANG Ningyu, ZHOU Qian, LIU Jiankun   

  1. State Grid Jiangsu Electric Power CO., LTD Research Institute, Nanjing, Jiangsu 211103, China
  • Received:2019-08-01 Revised:2020-02-17 Published:2020-07-05
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Farming the Environment into the Grid: Big data in Offshore Wind, No.5171101179) and the State Grid Project (Research on Optimization and Operation Control Technology of Large-scale Offshore Wind Power to Adapt the AC/DC Hybrid Receiving Grid, No.5210EF17001G)

Abstract: Wind power in Jiangsu are not only large in installed capacities but also varied in wind farm types, which include off-shore, coastal and inland wind farms. It is of significance to the planning, dispatching and operation of power grids to obtain the active output and fluctuation characteristics of different wind farms. According to the actual operation data of inland, coastal and off shore wind farms in Jiangsu province, several probability models are used to simulate the active output of wind farms and the fluctuation characteristics. The maximum likelihood estimation method is adopted to estimate the model parameters, and multiple indexes are used to assess the fitting accuracy. The result shows that the offshore wind power output follows Gamma distribution in probability density function, while the inland and coastal wind power output follows the Weibull distribution. The optimal fitness of output fluctuation of the three types of wind farms follows t distribution of the Location-Scale function.

Key words: wind power, wind power fluctuation characteristics, probability density function, maximum likelihood estimation