Robust optimal dispatch of power grid considering uncertainty of wind power output and electric vehicles

Abstract

With the extensive grid connection of wind power and the massive access of electric vehicles, their random nature has aggravated the difficulty of grid dispatching. In this paper, the idea of robust optimization is used to consider the uncertain factors faced by power grid dispatch, and the objective function is to minimize the total cost in extreme scenarios to establish a max-min optimization model for robust optimal dispatch of power grid. By adopting the column and constraint generation (C&CG) decomposition algorithm, the max-min double-layer optimization problem is decomposed into the main problem and the sub-problem iteratively, and a robust optimal scheduling scheme for dealing with uncertain factors is obtained. Finally, the IEEE 33-bus power system is taken as an example to carry out simulation analysis, and compared with the deterministic optimization scheduling method. The simulation results verify the effectiveness of the robust optimization scheduling model and solution algorithm in this paper.