Two-stage robust stochastic optimal scheduling method for multi-virtual power plant considering source-load side uncertainties

Abstract

A two-stage robust stochastic optimal scheduling method is proposed for a virtual power plant with multiple energy sources in consideration of the uncertainties of the outside environment and the load and source sides. Firstly, the radius uncertainty set of adjustable robust coefficients is adopted to describe the output of renewable energy. And a two-stage robust stochastic optimization model is built. Secondly, the column constraint generation algorithm is adopted to decompose the original issues into major categories and subcategories. Thirdly, the dual transformation theory and the large M method is applied to transform and solve it iteratively. Finally, simulation analysis is used to substantiate the effectiveness of the proposed model and algorithm.