3 papers
math.OC2026
Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
Benjamin Stöckl, Marco Anarmo, Sonja Wogrin +1
Energy system optimization models are indispensable for planning the European energy transition. Yet their applicability is constrained by the fundamental trade-off between spatial…
cs.SI2026
NPAP: Network Partitioning and Aggregation Package for Python
Marco Anarmo, Benjamin Stöckl, Yannick Werner +1
NPAP (Network Partitioning and Aggregation Package) is an open-source Python library for reducing the spatial complexity of network graphs. Built on NetworkX, it provides an access…
math.OC2025
Congestion-Sensitive Grid Aggregation for DC Optimal Power Flow
Benjamin Stöckl, Yannick Werner, Sonja Wogrin
The vast spatial dimension of modern interconnected electricity grids challenges the tractability of the DC optimal power flow problem. Grid aggregation methods try to overcome thi…