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A. Shamshad, M. A. Bawadi, W. M. A. Wan Hussin, T. A. Majid and S. A. M. Sanusi, “First and Second Order Markov Chain Models Forsynthetic Generation of Wind Speed Time Series,” Energy, Vol. 30, No. 5, 2005, pp. 693-708.

has been cited by the following article:

• TITLE: Rolling Generation Dispatch Based on Ultra-short-term Wind Power Forecast

  AUTHORS: Qiushi Xu, Changhong Deng

  KEYWORDS: Wind Power Generation; Power System; Rolling Generation Dispatch; Ultra-short-term Forecast; Markov Chain Model; Prime-dual Affine Scaling Interior Point Method

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, October 30, 2013

  ABSTRACT: The power systems economic and safety operation considering large-scale wind power penetration are now facing great challenges, which are based on reliable power supply and predictable load demands in the past. A rolling generation dispatch model based on ultra-short-term wind power forecast was proposed. In generation dispatch process, the model rolling correct not only the conventional units power output but also the power from wind farm, simultaneously. Second order Markov chain model was utilized to modify wind power prediction error state (WPPES) and update forecast results of wind power over the remaining dispatch periods. The prime-dual affine scaling interior point method was used to solve the proposed model that taken into account the constraints of multi-periods power balance, unit output adjustment, up spinning reserve and down spinning reserve.