@inproceedings{liu-han-gua-wug-sha-17-aa-windpow,
  author = {Yixuan Liu and Zhongkuan Han and Mingfeng Guan and Guochang Wu and Zhenguo Shao},
  title = {Optimizing the SVG Capacity for Wind Farm Based on Affine Arithmetic}, 
  booktitle = {Proc. International Conference on Smart Grid and Electrical Automation (ICSGEA 2017)}, 
  year = 2017,
  volume = {},
  number = {},
  pages = {509-513},
  doi = {10.1109/ICSGEA.2017.20},
  month = may,
  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, its 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.}
}