Script to make SimBench grid model data sets usable with DigSilent Power Factory
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Updated
Oct 29, 2025 - Python
Script to make SimBench grid model data sets usable with DigSilent Power Factory
Tool to convert SimBench data sets to ie3's power system data model
Do topology-aware grid foundation models survive feeder reconfiguration? SimBench MV study: the topology encoding is what transfers (2-8% voltage error on unseen feeders, flat across switching states) — with zero-shot, DC-baseline, and scale gaps named plainly.
Stackelberg demand response on a real feeder: recreation of Maharjan et al. (2013), AC-power-flow-audited equilibria, DLMP-lite repricing (+89% hosting capacity), model-free learning agents, and Shapley-audited fairness — with negative results logged.
Probabilistic PV hosting-capacity assessment of a SimBench LV grid under spatially and temporally correlated uncertainty, with autonomous inverter control and active distribution network operation
Generative models of distribution-feeder operating data with power-flow guarantees: physics by representation beats physics by penalty. Full-year SimBench AC-PF datasets, graph-conditioned flows, calibrated pseudo-measurement generation — eight evidenced findings incl. three negative results.
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