LF Energy Summit Europe 2026

During the last years, the PowSyBl ecosystem has expanded in many directions around the core module dedicated to grid data management, allowing the collaboration of an increasing number of organisations. As the workhorse of power systems, Open Load Flow is leading the adoption cycle with live projects for load flow, security analysis or sensitivity analysis at many TSOs and Coordination Centers. The advanced optimization tool OpenRAO is also a leading operational remedial action optimizer in Europe. Beyond computation modules, many users also adopted PowSyBl thanks to its easiness of use in day-to-day scripting through the python interface, and to grid and substation visualization features. The technical ecosystem is also widening with projects like the dynamic simulation module Dynawo and the grid study platform GridSuite. These last projects are open-source and are an open invitation to start cooperation. The session will provide an overview of the ecosystem, providing, for each module, the main features and use cases, the maturity status, and the roadmap. Eventually, through some examples, the way PowSyBl governance allows to start new cooperations will be presented.

Dynawo is an Open-Source, production-level dynamic simulator developed by RTE, now in use for operations planning processes. It is also the reference tool for validating the compliance of new projects to grid code requirements in France. Dynawo comes with an extensive library of RMS models written in Modelica, including a complete suite of generic models (WECC, IEC) for inverter-based resources.

This Tutorial will benefit anyone who is interested in using and/or extending Dynawo's *model library* but is finding that Dynawo (the *simulator*) has a steep learning curve. In particular, we will be presenting new tools designed for facilitating the uptake of Dynawo's models, demonstrating a few use-cases:
* Usage within pure Modelica: solving the initialization problem
* Usage of Dynawo via PyPowSyBl: construction, manipulation, and visualization of (large) study cases
* Parameter-sweep studies
* Small-stability analysis

The tools take the form of Python and Julia Notebooks, designed to be flexible and easy to change by end-users. The session will also emphasize *understanding* these tools to encourage the customization and promote new creative solutions.

This session presents Artelys' vision of a sustainable business model around the PowSyBl open-source framework for power system modelling.

The approach relies on a clear separation between strategic governance, technical steering and community contributions, enabling transparency and alignment across stakeholders (TSOs, RCCs, utilities, vendors). The roadmap is not imposed by a vendor but co-defined by contributors and users, who can influence priorities through governance bodies and structured collaboration.

From a business perspective, value is created through services: integration, custom developments, and especially long-term support & maintenance of shared modules. This model leverages mutualization: several users co-finance core components, ensuring sustainability of complex software while avoiding vendor lock-in.

The session will illustrate how open-source approach enables both flexibility for individual projects and efficiency at ecosystem scale.

Capacity screening studies help US generation and large-load developers evaluate project size against available network capacity. Once a project size is selected, system impact studies determine project-specific impacts and upgrade costs. Developers often need to run tens or hundreds of sensitivities to understand risk, compare sites, and navigate the interconnection process, making scale, speed, and accuracy critical. In the US, these studies are most commonly performed with commercial planning software. While open-source alternatives exist, they are still rarely used in industry-grade workflows.

We will show how we are incorporating PowSyBl into our power system analysis platform as an alternative engine for US studies. We will cover why we selected PowSyBl after evaluating other open-source options, what it took to adapt it to US planning conventions, how its results compare with commercial tools, and lessons learned bringing open-source power-system analysis into production workflows. We will also discuss where we plan to extend its use next, including broader study coverage, deeper workflow integration, and contributions back to the ecosystem.

Transmission system operators face structural challenges: sovereignty, security, safety, efficiency, digitalization …
In this session, Sopra Steria shares a practitioner’s journey of embedding LF Energy’s PowSyBl into a real TSO production program for RTE. We cover two concrete contributions shipped to the open source community: decoupling the network-viewer component from any frontend framework (React/Angular agnostic), enabling simultaneous dual-value display (P active and Q reactive) on grid lines. Beyond the code, we discuss how an IT company structures its OSPO, open source governance (Licence Rules Book), and the cultural shift required to move from “consumer” to “contributor” in a critical infrastructure context.

The power grid is changing fast, and the systems behind it are under pressure. More data, tighter timeframes, increasing congestion, and regulatory requirements are pushing traditional grid security tools beyond their limits. At TenneT Netherlands, legacy tooling was simply no longer fast and adaptable enough to keep up with this new reality.

By combining the open source PowSyBl framework with a cloud-native orchestration platform (ReFlow), TenneT rebuilt its grid security analysis from the ground up. The result is a step change in performance and capability: reducing calculation runtimes from minutes to seconds and enabling a fundamentally different way of working.

This session will show how we:

- Moved from monolithic legacy tooling to a modular, scalable architecture
- Used open source to accelerate delivery and avoid vendor lock-in
- Established what it takes to run open source in a mission-critical environment
- Strengthened operator support by providing an integrated view across analyses through modular design

This hands-on tutorial will introduce VeraGrid’s open-source dynamic simulation capabilities for modern power system studies. Participants will learn how to build, run, and interpret dynamic simulations using both GUI-based and scripting workflows, making the session accessible to users with different levels of coding experience.

The tutorial will cover RMS simulation, EMT simulation, and small-signal analysis at both RMS and EMT levels. Attendees will work with out-of-the-box dynamic model templates and see how these can be extended into customized control builds for specific applications. They will also create simulation events and visualize their effect on system behaviour.

Join this demo session to explore Dynaωo, an open-source suite of time domain simulation tools for power systems. Through real-world use cases at full grid scale, we will showcase the tool’s current capabilities, including its ability to model complex grid behaviors, simulate disturbances, and analyze system stability. We will demonstrate how both academic and industrial users can quickly get started with Dynaωo, enabling them to leverage its powerful time domain simulation capabilities for their specific needs.
This session will highlight Dynaωo’s integration with PowSybl, another open-source tool under the Linux Foundation Energy umbrella, to demonstrate how seamless interface enhances workflows for researchers and industry professionals. Attendees will gain hands-on insights into Dynawo’s modular architecture, its flexibility for customization, and its potential for industrial applications.
Whether you are a developer, researcher, or grid operator, this demo will illustrate how Dynaωo can support your dynamic simulation needs while fostering collaboration within the open-source energy community.

We present how the open Energy System Description Language (ESDL) is translated into GIS environments to enable interoperable and transparent spatial energy planning, across domains. ESDL is a modelling language designed to represent multi-carrier energy system components, their relationships, and dynamic behavior, while structuring assets, network topologies, and scenarios in a consistent way.

In the Netherlands the spatial dimension of the energy transition is critical and diverse stakeholders (grid operators, municipalities, industry, and modelers) have to exchange, aggregate, and iteratively refine energy scenarios. This makes a shared standard, that connects different models across domains (e.g. heat, gas and electricity) and seamlessly links to GIS, important.
In this session, we demonstrate how Esri and ArcGIS are integrating ESDL and explore what this means for interoperability and the open-source ecosystem. How can a leading GIS platform evolve into an open environment for open energy simulation models?

We will share the latest status of ESDL integration in both ArcGIS and QGIS, including practical examples such as hydrogen network simulations: https://arcg.is/9rP0y

PowSyBl is becoming more and more widely used by the power grid community. PyPowSyBl is the entry point to this ecosystem for a lot of users, bringing most of the functionalities of PowSyBl to Python development.

We propose to demonstrate both the core features of the package (network manipulation, loadflow computation, security or sensitivity analysis, visualization...) and give a glimpse into the more recently added features.

It will allow both new members of the community to discover how PyPowSyBl works and members already using it to know more about features they might not use and new ones.

We need the capability to thermally model all components in the chain of assets. The global energy transition is rapidly reshaping electricity systems, driven by decarbonization, electrification, and the integration of renewables. These developments introduce new operational challenges for grid operators, including increased congestion and the need to maximize existing grid capacity while ensuring reliability.

Building on our Transformer Thermal Model, we add two new members to the family of thermal models: Cable Thermal Model (CTM) and Switchgear Thermal Model (SGTM). These models estimate asset temperatures based on load, ambient conditions, and technical specifications. Together, they allow operators to identify bottlenecks, assess hidden capacity, and mitigate congestion risks. As this now enables operators to model most primary components in the grid, the applicability and value increase exponentially!

In this talk, we demonstrate how we apply these models in practice across multiple asset types, enabling higher asset utilization, optimal grid planning, improved monitoring, and more efficient system operation.

Understanding, simulating and predicting the behavior of overhead lines and their supporting structures (including electrical towers) is essential for securing grid maintenance and extending asset life. Phlowers provides tools to achieve this in a simple way, despite the complexity of the underlying algorithms.

Phlowers is an Open Source ecosystem that brings mechanical and thermal modeling of overhead lines to engineers, researchers and operators, including those working offline. In the future, it will integrate the modeling of supporting structures (pylons/towers) to simulate mechanical constraints and interactions within the grid.

The ecosystem currently includes Python libraries for simulations and an offline web application called Stellar. It enables users to customize models, integrate their own data and adapt tools to operational needs. It will also support large-scale batch computations to assess maintenance policies, simulate multiple scenarios and optimize long-term asset management strategies.

In this session, we will explore its architecture, use cases and contribution to innovation in grid asset management.