LF Energy Summit Europe 2026

Modern power systems are undergoing a structural transformation that planning tools were never designed to handle. System operators today manage this complexity with tools built for a different era, decisions made on intuition shaped by experience rather than probabilistic foresight.
The Grid Enhancement Platform (GEP) solves this software architecture challenge as an open-source reference architecture. Built on a modular, loosely coupled stack of four mature projects LF Energy’s PowSyBl, Power Grid Model, OpenSTEF and Pandapower. At day-ahead clearing, GEP ingests the cleared positions and runs a forward-looking network state simulation. Using the probabilistic outputs at the asset level, propagated upward through aggregation engine and evaluated against the network model in Power Grid Model and PowSyBl, the platform generates a time-series of nodal state distributions. At the aggregation level, flexibility assets-batteries, demand response contracts are modelled as degrees of freedom that can be co-optimised against both the energy market objective and the network constraint objective simultaneously. The result is a genuinely localised, network-aware dispatch signal .