Abstract：Nowadays, large wind farms are usually installed on the wind energy resource rich region, such as mountains or hills area. When wind passes over these areas, the complex terrain feature and the mutual influence between wind turbine generators（WTG）will observably change wind speed and directly affect the power output of the wind farm. In order to improve the utilization rate of wind and increase the power output of a wind farm, this paper proposes a time sequential Monte Carlo simulation technique to optimal distribution of arranges of WTG and analysis the reliability of grid-connected system, with considering combined wind speed random models and terrain effect of installation site and wake effect between in WTGs. The results have important theoretical guiding significance for wind farm planning, sitting, overall layout and increase economic benefits.
[1] 李东东, 陈陈. 风力发电系统动态仿真的风速模型[J]. 中国电机工程学报, 2005, 25(21): 41-44. [2] 王承煦, 张源. 风力发电[M]. 北京：中国电力出版社, 2003: 10-35. [3] 孙建锋. 风电场建模和仿真研究[D]. 北京: 清华大学, 2004. [4] 李东东, 陈陈. 风力发电机组动态模型研究[J]. 中国电机工程学报, 2005, 25(3): 115-119. [5] Ma Y J, Yang H SH, Zhou X S, et al. The dynamic modeling of wind farms considering wake effects and its optimal distribution[C]//2009 World Non-Grid- Connected Wind Power and Energy Conference, 2009: 134-137. [6] 穆明明. 含风电场的电力系统可靠性评估[D]. 太原: 太原理工大学, 2010. [7] Karki R, Hu P, Billinton R. A simplified wind power Generation model for reliability evaluation[J]. IEEE Transactions on Energy Conversion, 2006, 21(2): 533-540.
2017, Vol. 18 
