Optimal spinning reserve capacity in power system with wind uncertainties

Abstract

With the expanding wind power scale by each year, the traditional method for optimizing spinning reserve (SR) capacity is no longer applicable. Due attention has to be paid on this added wind uncertainty when setting the SR requirement. For obtaining the more optimal and reasonable results, a technique that SR determination can be dealt should be researched in wind power integration system. Therefore, with involving wind farm output variables, the fresh and upgrade Robust Linear Optimization (RLO) which proposed by Seong-Cheol Kang is firstly introduced into constructing the model of minimum generating the cost of conventional generators (CGs) and SR cost and its optimal capacity in this paper. The wind farm output was described as its minimum, maximum and mean values in the model through the SCK robust linear optimization theory. The reliability for optimal SR capacity and total cost can be preliminarily calculated under a variety of wind power fluctuation in this model. The validity of the proposed method will be verified by the test results of the IEEE-30 bus system. The relationships of wind uncertainties and required SRs can also be confirmed.