Sensitivity factors based transmission network topology control for violation relief

Abstract

Transmission networks consist of thousands of branches for large-scale real power systems. They are built with a high degree of redundancy for reliability concern. Thus, it is very likely that there exist various network topologies that can deliver continuous power supply to consumers. The optimal transmission network topology could be very different for different system conditions. Transmission network topology control (TNTC) can provide the operator with an additional option to manage network congestion, reduce losses, relieve violation, and achieve cost saving. This paper examines the benefits of TNTC in reducing post-contingency overloads that are identified by real-time contingency analysis (RTCA). The procedure of RTCA with TNTC is presented and two algorithms are proposed to determine the candidate switching solutions. Both algorithms use available system data: sensitivity factors or shifting factors. The proposed two TNTC approaches are based on the transmission switching distribution factor (TSDF) and flow transfer distribution factor (FTDF) respectively. FTDF based TNTC approach is an enhanced version of TSDF based TNTC approach by considering network flow distribution. Numerical simulations demonstrate that both methods can effectively relieve flow violations and FTDF outperforms TSDF.

Series FACTS Devices for Increasing Resiliency in Severe Weather Conditions

“…However, it does not consider the impact of severe weather, cannot respond before a contingency, and cannot be used for real-time applications. Reference [18] uses transmission network topology control to determine the optimal topology considering system reliability concerns. Reference [19] proposes a selective power routing method that provides primary frequency support to decrease the disturbances.…”

“…Reference [19] proposes a selective power routing method that provides primary frequency support to decrease the disturbances. References [18,19] do not consider severe weather impact. Reference [20] uses matrix perturbation for tuning series FACTS devices to decrease the real power flow through lines vulnerable to severe weather.…”

Optimal Power Flow in Hybrid AC/DC Microgrid using ANN for Cost Minimization

“…Shah and Mithulananthan [29] conducted a review of optimal power flow literature, emphasizing the application of traditional and evolutionary methods in solving nonlinear power system problems.In the realm of microgrid integration and energy storage, Basu et al [30] presented a review of microgrid concepts, underlining the importance of proper integration of diverse energy sources for enhanced performance. Additionally, Levron et al [31][32][33][34] explored optimal power flow in microgrids with energy storage, shedding light on the intricate balance required for efficient operation.…”