OpenSynth Expands With D-GITT & RTE7000: Open Transmission System Data for Grid-Aware Innovation
Event Recap: LF Energy Summit Europe 2025
TL;DR
At LF Energy Summit Europe 2025, Geethu Joseph (CRESYM) and Josep Fanals Batllori (eRoots Analytics) presented the expansion of OpenSynth into transmission system modeling. This growth is supported by the Detailed Grid Inner Topology Time series (D-GITT or DIGIT) hub and the release of the RTE7000 dataset, providing three years of high-resolution French grid topology data.
Presentation Overview
OpenSynth, a project hosted by LF Energy originally launched by the Centre for Net Zero (CNZ), has broadened its scope from synthetic demand data to include real-world transmission system data. The speakers introduced D-GITT as a centralized open data hub initiated by CRESYM to facilitate collaborative research in power system modeling.
The primary contribution discussed was the RTE7000 dataset, provided by the French TSO, RTE. The goal of publishing this detailed node-breaker topology is to empower researchers and AI innovators to develop optimization models for grid management and operational assistance.
The RTE7000 Dataset: Technical Specifications
The RTE7000 dataset represents the French transmission network in detailed node-breaker topology, offering significantly more granularity than standard bus-branch models.
- Temporal Scope: Three full years of data (2021–2023) with snapshots taken every five minutes.
- Scale: Models approximately 7,000 nodes across voltage levels from 63 kV to 400 kV.
- Format: Comprises more than 300,000 XIADM.bz2 files.
- Tooling Compatibility: The dataset is fully compatible with Pypowsybl, the open source Python library for power system simulation and analysis.
The presenters clarified that while the dataset includes comprehensive topological information—including substations, disconnectors, and circuit breaker statuses—it does not currently include power flow values or injection data.
Community Engagement and Tutorials
To facilitate adoption, the speakers demonstrated a series of Jupyter notebook tutorials available in the DIGIT repository. These tutorials show users how to:
- Load grid files and inspect substation elements using Pypowsybl.
- Visualize network diagrams and substation configurations.
- Identify equipment connection statuses (e.g., connected vs. disconnected circuit breakers).
The session also addressed a known technical issue regarding “ID inconsistencies,” where unique identifiers for certain elements may change across different time steps. This is currently tracked as a GitHub issue to encourage community-led fixes and collaborative data cleaning.
Upcoming Community Challenge
The speakers announced a community challenge focused on remedial action optimization to be delivered by the end of 2025. Participants will use the dataset to determine optimal grid actions—such as transformer tap settings or redispatching—to maintain stable operating points. Synthetic injection data will be provided to enable these power flow simulations.
Watch the full presentation:
https://youtu.be/-5tpeanZHZE?si=sR5pNcdISEBCQ8aa
FAQ
What is OpenSynth?
OpenSynth is an LF Energy project focused on providing open access to energy data to accelerate the decarbonization of global energy systems.
What is the RTE7000 dataset?
It is an open source release of the French transmission network topology covering the years 2021–2023 with 5-minute resolution.
Does the dataset include power flow data?
No. The current release provides structural and topological information (node-breaker) but does not include injections or power flow values.
How can I visualize the data?
The data is compatible with Pypowsybl. The project provides Jupyter notebook tutorials to help users generate diagrams and inspect grid objects.
What is D-GITT?
Detailed Grid Inner Topology Time series (D-GITT or DIGIT) is an open data set hub initiated by CRESYM to host contributions like RTE7000 and support power system modeling research.
About LF Energy
LF Energy is an open source foundation within the Linux Foundation focused on advancing collaboration in digital energy infrastructure.
Learn more: https://lfenergy.org
