Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (S2): 51-59.doi: 10.16183/j.cnki.jsjtu.2021.S2.008

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Estimation of Wind Farm Available Inertia Considering Uncertainty of Wind Speed Distribution and Unit Inertia Transformation

GONG Weizheng1, XU Ling1, YAO Yin2()   

  1. 1. East Branch of State Grid Corporation of China, Shanghai 200120, China
    2. School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2021-08-31 Online:2021-12-28 Published:2022-01-24
  • Contact: YAO Yin E-mail:yin.yao@shiep.edu.cn

Abstract:

Taking into account the wind speed distribution and correlation, the units in the field are first clustered according to the wind speed distribution, and the wind speed distribution modeling scheme is proposed for practical applications. Then, each area is selected according to the European distance. Finally, considering the uncertainty between wind speed and available inertia, neural network is used to predict the available inertia distribution of each cluster. A wind farm in China is selected as the simulation example. The simulation results show that compared with the equivalent machine method based on average wind speed, the prediction accuracy of the proposed method in the low wind speed range is significantly improved, and the calculation efficiency of the proposed algorithm based on the clustered central unit is higher.

Key words: wind speed forecast, Copula function, virtual inertia, data driven

CLC Number: