LF Energy Summit Europe 2026

Redispatch volumes have increased enormously over the past year, creating new challenges for existing technologies, tools, and processes. These challenges become particularly visible in settlement and billing, which sit at the end of a long chain of operational and data-processing steps.

The use of multiple commercial tools from different vendors can make data access, process transparency, and adaptation to changing requirements difficult. To address this, Bayernwerk has started using open-source tools to improve data transparency and support error detection, correction, and analysis in the Redispatch 2.0 process.

The initial experiment was successful and, beyond the original use case, has attracted new users across the organization. Making data more openly available internally has enabled new applications across departments and contributed to a broader shift in how data is used.

The next challenge is to scale and industrialize these tools to meet growing internal demand, while integrating more advanced features where LF Energy and other open source tools can play an increasingly relevant role.

LF Energy has a growing ecosystem of open-source projects for forecasting, digital substations, data-driven operation, and more. However, for many users, one question remains difficult: how do these projects fit together in a realistic digital grid workflow?
Over the past year, we explored many LF Energy projects and analyzed how they can work as parts of a larger grid ecosystem. Based on this, we're building a miniature city-grid prototype in our research lab that connects different projects across a shared operational chain. For example, one workflow starts with load and renewable forecasting, uses grid-model calculations to assess network impact, and surfaces the resulting event to an operator workflow.
The session will include a demo walkthrough using recorded lab segments, architecture diagrams, and data-flow examples. It will show how projects such as OpenSTEF, SEAPATH, PowSyBl, OpenGridFM, and OperatorFabric can fit within the same architecture. Attendees understand where to start, what role each project can play individually, and how they can be connected to solve practical digital grid problems. The session will also highlight integration gaps for community discussion.

PowSyBl runs load flow in production at TSOs; its short-circuit side is younger. We do not need a perfect fault engine to make the next leap. Treat PowSyBl as a *grid engine* — it gives the short-circuit power Scc, the fault current Icc, line parameters and source strength, the boundary conditions a protection study needs since relays are set on Icc min and max. Feed those into the *real* protection, virtualized on a SEAPATH base, close it into a software loop over one zone, and you test selectivity the way software teams test code: deterministically, repeatably, in the open.

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 .