Distributionally Robust Unit Commitment Based On Wind Power Scenario And Electric Vehicles Charging Station

Abstract

The rapid development of renewable energy has brought the challenge of uncertainty to power system operation. In recent years, stochastic optimization (SO), robust optimization (RO) and distributionally robust optimization (DRO) have been proposed to handle the uncertainty. Especially, DRO received more attention for balancing economy and stability of system compared with the former two. In this paper, we propose a distributionally robust unit commitment model based on wind power scenario, which collaboratively takes electric vehicles (EV) charging station into consideration, and adopt ameliorated particle swarm optimization (PSO) algorithm and mathematical solver to solve the problem. Finally, the validity of this research is verified by experiments on a modified IEEE-RTS 96 system.