Research on Optimal Scheduling Method of Distribution Station Area Considering the Uncertainty of Photovoltaic Output

Abstract

In this article, the cardinal uncertainty collection is used to describe the uncertainty of photovoltaic (PV) output, and it is introduced into the scheduling optimization problem. Taking the min operation cost as the objective and considering the uncertainty of PV output, a two-phase robust optimization scheduling (ROS) model for the station area is established. The column-and-constraint generation algorithm (C&CGA) is used to decouple it into the main problem and sub-problem to be solved alternately, and the model is solved. Finally, the proposed model is simulated and analyzed by an improved IEEE33 node example. The results show that proposed method can effectively reduce the load fluctuation and operation cost, and reduce the operation loss of the distribution station area.