LF Energy Summit Europe 2026

In this demo, Daniel Roesler, founder of DRX Gateway, will show a demonstration of the first implementation of LF Energy's CDS protocols on the DRX Gateway platform. The demo will include three parts: (1) how a utility can launch and configure a server that complies with CDS specifications, (2) how external companies can automate connecting to that server using CDS standardized protocols, and (3) how secure data exchange and communication can take place using CDS specified APIs. The goal of this demonstration is to show how important the CDS project is to unlocking scalable connectivity in the energy industry.

Operating highly loaded grids in real time requires combining powerful topology optimisation with efficient handling of “linear” remedial actions. ToOp, developed by 50Hertz, is a state-of-the-art optimiser for topological measures, going beyond the topology optimisation currently available in OpenRAO.

In TopRAO, we couple ToOp with the Powsybl-based OpenRAO toolbox: OpenRAO optimises linear remedial actions (PST, redispatching, counter-trading, HVDC), while ToOp focuses on topological measures. Together, they form a real-time-capable RAO engine for security analysis at TSO and inter-TSO level.

This demo walks through an end-to-end workflow: importing network data, running joint optimization of topology and linear actions, and analysing resulting constraints, actions and costs using open, transparent components.

This demo introduces Smart HEMS-Benchmark, an open benchmarking framework for residential DER systems that is entering the LF Energy project onboarding process. It addresses a key gap in today’s ecosystem: the lack of transparent, standardized, and reproducible evaluation for HEMS performance across technologies, regions, and policy settings.
We demonstrate an end-to-end workflow across three layers: (1) location and sizing assessment with long-horizon techno-economic analysis, (2) HEMS algorithm benchmarking under standardized scenarios, and (3) VPP participation benchmarking for grid-service and market-oriented use cases. The demo covers uncertainty-aware simulation (load, PV, price, device behavior), multiple tariff models (fixed, TOU, dynamic), and policy regimes (e.g., net metering, net billing, non-export).
By combining open datasets, consistent metrics, and repeatable pipelines, Smart HEMS-Benchmark enables fair comparison from baseline strategies to advanced AI-driven control, supporting both research and real-world deployment decisions.

Executing grid modelling and simulations like load flows, N-1 analyses, or sensitivity studies typically demands deep tooling expertise or custom scripting. What if grid engineers could drive these workflows directly in natural language - without sacrificing rigor or control?

pypowsybl-mcp demonstrates an open-source Model Context Protocol (MCP) server that exposes PowSyBl as AI-callable tools, callable by any conversational UI or AI agent to perform grid modelling simulations.

Our demo showcases a comprehensive TSO workflow driven entirely by natural-language prompts. Attendees will watch our AI agent dynamically orchestrate complex tool calls to execute:
1. Stress assessment: "Run an AC load flow; show voltage violations"
2. N-1 security: "Run N-1 on 400 kV lines; identify insecure contingencies"
3. Sensitivity: "Rank generators by impact on overload mitigation"
4. Remedial action: "Re-dispatch and re-run N-1"
5. Reproducibility: "Generate a Python script to reproduce this session"
Results come from pypowsybl (accurate, reproducible, hallucination-free results), while the LLM handles orchestration only and adaptation of results to the expertise of the user.

Charging elements and energetic flow of the test bench setup

Typical Use Cases and Car Communication
The difference in demonstration sites within BiFlex-Industrie research project
DC bidirectional with ISO 15118-20 as standardized charging communication protocol for EV and EVSE

Software Tools
Smartphone charging App
Nymea IoT Demo Server (it is for Linux)
LF Energy EVerest Framework for car charging
Connection API
Implementation concepts of home automation and control architecture
Why extensibility matters
Separation of concerns. Advantages of ripe special domain tools against locked systems and cloud-based approaches.

Hardware Concept
Test bench DC-Charger with EVerest
Car simulation with chargebytes Charge Control L
Enabled ISO 15118-20 protocols with TLS
Optional mobile phone App as remote control and UI

Demonstration
Automated charging strategy creation
Forecasting and environmental condition parameters influence charging

Conclusion
Making use of volatile renewable energy by charging and discharging electric cars is valuable, publicly available and technically prepared

Demo of the FlexMeasures project, a framework to optimize behind-the-meter energy flexibility continuously:

- Motivation & Use Cases
- Concepts & Architecture
- Going through the first starter's tutorials
- Show example data (visuals) from a building optimization
- How the UI allows non-developers to work with data & settinga
- How developers can script such a site (asset setup, data upload, forecasting, scheduling) from 0 to 100
- Roadmap & ways to collaborate / extend