An AC Stochastic Optimal Transmission Switching Approach with Scenario Reduction Technique

In recent years, many new trends, such as large-scale renewable generations, electric cars and demand response, appear in power systems. Grid uncertainties are greatly increased due to the new trends. Thus, it is necessary to consider the impact of grid uncertainties in the decision-making process of optimal transmission switching. In this paper, a stochastic programming based approach is proposed for optimal transmission switching problems. Grid uncertainties are represented by different scenarios and are taken into consideration in the proposed approach. This new approach is based on the ACOPF and the scenario reduction technique is adopted to preserve only the key scenarios in the stochastic programming formulation. The corresponding scheme is designed for scheduling and online operation. The proposed scheme is validated on the South Carolina-500 bus synthetic system.