A new method for reference network considering nodal injection uncertainties

With the diversified development of electrical loads, and the large-scale integration of volatile renewable generations, power system operation, control and planning face the challenge of increasing injection uncertainties. In this paper, a new method for reference network considering nodal injection uncertainties is proposed. The actual operation mode optimization and reserve configuration of power grid as well as the correction control under the contingency situation are taken into account in the proposed method. Based on the forecasted interval values of nodal injection power of each period in predictive multi-time scale and candidate transmission line schemes of future planning time horizon, a new optimal model for reference network is built. In the proposed model, the objective function is minimizing annual power generation cost, reserve cost and transmission cost, and the constraints are the safety operation technical requirements under normal operation state and N-1 accident operation state. The proposed model is an interval optimization problem mathematically, and can be converted to a linear programming problem. Finally, case studies are conducted to illustrate the effectiveness of the proposed method.