A Robust and Economic Scheduling Methodology for Interconnected Power System by Considering the Uncertainty of Wind Power

The aim of energy internet is to realize the utilization and sharing of large-scale renewable energy. The utilization of renewable energy is achieved by converting it to electric power, and the sharing of large-scale renewable energy is realized by long-distance transferring electric power in power transmission network. In this paper, a wide-area coordination and consumption strategy for accommodating new energy is proposed to achieve large-scale sharing of wide-area renewable energy. The robust optimization technique is used to mitigate the impact of the uncertainty output of renewable energy on power grid. Firstly, a new kind of tie-line dispatching mode, traditional tie-line dispatching combined with wind power accommodation, is given in this paper, in which the dispatching plan of tie-line power flow is divided into a planned value and an adjusted value. Secondly, a two-phase game model is established. Finally, an improved nonlinear cutting plane method is put forward to solve the robust model proposed in this paper. The example results show that the proposed wide-area coordination and consumption strategy of new energy can improve the economy and robustness of the interconnected system.