3 papers
eess.SY2025
Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
Zeynab Kaseb, Matthias Moller, Lindsay Spoor +4
The Newton-Raphson (NR) method is widely used for solving power flow (PF) equations due to its quadratic convergence. However, its performance deteriorates under poor initializatio…
eess.SY2025
A data-driven approach for topology correction in low voltage distribution networks with PVs
Dong Liu, Sander Timmerman, Yu Xiang +3
Most existing phase balancing and topology reconfiguration problems are formulated as mixed-integer optimization problems that depend on network topologies~\cite{10098964,11017695,…
eess.SY2025
Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids
Shengyuan Yan, Farzad Vazinram, Zeynab Kaseb +8
Power flow (PF) calculations are fundamental to power system analysis to ensure stable and reliable grid operation. The Newton-Raphson (NR) method is commonly used for PF analysis…