collaborators

5 papers

eess.SY2026

Security-Constrained Substation Reconfiguration Considering Busbar and Coupler Contingencies

Ali Rajaei, Jochen L. Cremer

Substation reconfiguration via busbar splitting can mitigate transmission grid congestion and reduce operational costs. However, existing approaches neglect the security of substat…

eess.SY2025

Addressing Model Inaccuracies in Transmission Network Reconfiguration via Diverse Alternatives

Paul Bannmüller, Périne Cunat, Ali Rajaei +1

The ongoing energy transition places significant pressure on the transmission network due to increasing shares of renewables and electrification. To mitigate grid congestion, trans…

cs.AI2025

Transferable Graph Learning for Transmission Congestion Management via Busbar Splitting

Ali Rajaei, Peter Palensky, Jochen L. Cremer

Network topology optimization (NTO) via busbar splitting can mitigate transmission grid congestion and reduce redispatch costs. However, solving this mixed-integer nonlinear proble…

cs.LG2025

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow

Olayiwola Arowolo, Jochen L. Cremer

AC Optimal Power Flow (ACOPF) is computationally intensive for large-scale grids, often requiring prohibitive solution times with conventional solvers. Machine learning offers sign…

cs.LG2025

Multi-Objective Reinforcement Learning for Power Grid Topology Control

Thomas Lautenbacher, Ali Rajaei, Davide Barbieri +2

Transmission grid congestion increases as the electrification of various sectors requires transmitting more power. Topology control, through substation reconfiguration, can reduce…