A SCOPF model for congestion management considering power flow controlling devices

Abstract

With an increase in the share of distributed renewable generation, the power flow patterns are changing, and there is an increasing probability of internal congestion. There is also an increase in the number of power flow controlling devices in the transmission system to provide greater flexibility to the system operator. Thus, there is a need to include these devices and intra-zonal transmission lines for the congestion management analysis. This paper presents a probabilistic security-constrained optimal power flow (SCOPF) model for congestion management based on the non-linear ac formulation. To ensure computational efficiency, a second-order cone (soc) relaxation for power flow controlling devices is proposed. A comparison between the ac and soc formulations has been carried out on the modified IEEE 118-bus AC/DC system. It is observed that with the soc formulation, the computational efficiency of the model is increased while ensuring a minimal gap between the ac and soc results.