A method for wind power calculation considering wind speed spatial and temporal distribution and wind turbine operation status

被引:2
作者
School of Electrical Engineering, Wuhan University, Wuhan [1 ]
430072, China
机构
[1] School of Electrical Engineering, Wuhan University, Wuhan
来源
Dianli Xitong Zidonghue | / 2卷 / 30-38 and 60期
基金
中国国家自然科学基金;
关键词
Operation status; Spatial and temporal distribution; Wind power; Wind speed; Wind turbine characteristics;
D O I
10.7500/AEPS20131209002
中图分类号
学科分类号
摘要
In the background of large-scale wind power connected to the grid, accurately calculating the output power of the wind farm is of utmost importance to the dispatching control and grid safe operation. By taking the mean wind speed and direction measured by masts on the minute-to-hour time horizon level as the inputs, the impact of the geographical distribution of wind turbine and wind turbine commitment on the wake model is studied. A new equivalent wind speed model is proposed according to the wind speed spatial and temporal distribution on the wind farm. Based on the proposed wind speed model, a method for wind power calculation considering the mechanical characteristics and operation status of wind turbines is presented. The feasibility and rationality of the method proposed is verified by simulation results of an actual wind farm's geographical data and wind turbine parameters. ©, 2015 State Grid Electric Power Research Institute Press.
引用
收藏
页码:30 / 38and60
页数:3830
相关论文
共 47 条
  • [1] Sun Y., Wu J., Li G., Et al., Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming, Proceedings of the CSEE, 29, 4, pp. 41-47, (2009)
  • [2] Feng S., Wang W., Liu C., Et al., Study on the physical approach to wind power prediction, Proceedings of the CSEE, 30, 2, pp. 1-6, (2010)
  • [3] Wen P., Shen J., Li Y., Et al., Simulation of turbulent wind speed in wind farm based on auto regression method, Power System Technology, 33, 5, pp. 75-79, (2009)
  • [4] Chen X., Chen J., Li J., Numerical simulation of fluctuating wind velocity time series of offshore wind turbine, Proceeding of the CSEE, 28, 32, pp. 111-116, (2008)
  • [5] Potter C.W., Negnevitsky M., Very short-term wind forecasting for Tasmanian power generation, IEEE Trans on Power Systems, 21, 2, pp. 965-972, (2006)
  • [6] Sorensen P., Hansen A.D., Rosas P.A.C., Wind models for simulation of power fluctuations from wind farms, Journal of Wind Engineering and Industrial Aerodynamics, 90, 12-15, pp. 1381-1402, (2002)
  • [7] Iov F., Hansen A.D., Sorensen P., Et al., Wind turbine blockset in MATLAB/Simulink
  • [8] Dong L., Deng X., Liao M., Et al., The design of turbulence filter and the generating of equivalent wind speed, Mechanical Science and Technology for Aerospace Engineering, 31, 6, pp. 933-937, (2012)
  • [9] Lin J., Sun Y., Li G., Et al., Simulation of power fluctuation of wind farms based on frequency domain: Part one model and analysis technique, Automation of Electric Power Systems, 35, 4, pp. 65-69, (2011)
  • [10] Li L., Liu Y., Yang Y., Et al., Short-term wind speed forecasting based on CFD pre-calculated flow fields, Proceedings of the CSEE, 33, 7, pp. 27-32, (2013)