Spinning reserve computation for a power system with WPG using Point-Estimate Methods

This paper proposes a methodology for computing the spinning reserve spinning reserve for a power system with a high penetration of wind power generation. The methodology uses a Point Estimate Method in order to calculate a Unit Commitment with several stochastic variables, including demand and wind forecast for a given day. Additionally, the model considers the expected energy not served calculated from a Monte Carlo simulation. The methodology was tested on the IEEE RTS 96, where a replacement of 600 MW of conventional generation for 600 MW of wind power generation was made. The results show a significant increase on the expected value of the spinning reserve when wind power generation is integrated to the system. In addition, it is possible to estimate all the descriptive statistics for the spinning reserve.