A robust interval economic dispatch model accommodating large-scale wind power generation with consideration of price-based demand response

Abstract

Demand response can promote large-scale wind power accommodation via utilizing demand side resources to participate in power systems dispatch. Because the wind power uncertainty is neglected and the probabilistic model of wind power forecast error is difficult to be accurately obtained in the existing wind power dispatch models considering demand response, the impacts of wind power uncertainty on demand response load regulation are unable to be accurately evaluated. By utilizing the interval information of wind power forecast which can be conveniently obtained, the robust interval optimization method can be used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation. Therefore, a price-based demand response model is introduced to the conventional robust interval dynamic economic dispatch model, an hours-ahead robust interval economic dispatch model accommodating large-scale wind power with consideration of price-based demand response is developed and its solution method based on linear programming is proposed in this paper. Simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.