Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch Academic Article uri icon


  • We propose a novel statistical wind power forecast framework, which leverages the spatio-temporal correlation in wind speed and direction data among geographically dispersed wind farms. Critical assessment of the performance of spatio-temporal wind power forecast is performed using realistic wind farm data from West Texas. It is shown that spatio-temporal wind forecast models are numerically efficient approaches to improving forecast quality. By reducing uncertainties in near-term wind power forecasts, the overall cost benefits on system dispatch can be quantified. We integrate the improved forecast with an advanced robust look-ahead dispatch framework. This integrated forecast and economic dispatch framework is tested in a modified IEEE RTS 24-bus system. Numerical simulation suggests that the overall generation cost can be reduced by up to 6% using a robust look-ahead dispatch coupled with spatio-temporal wind forecast as compared with persistent wind forecast models. 2013 IEEE.

published proceedings


author list (cited authors)

  • Xie, L. e., Gu, Y., Zhu, X., & Genton, M. G.

citation count

  • 156

complete list of authors

  • Xie, Le||Gu, Yingzhong||Zhu, Xinxin||Genton, Marc G

publication date

  • September 2014