Executive Summary
Anell, a distribution system operator in Catalonia (Spain), is working to modernize its network to meet the challenges of a high-renewable future. As part of the OPENTUNITY project, Anell launched a pilot on Real-Time Thermal Rating (RTTR) to explore how real-world temperature data can unlock hidden capacity in medium-voltage lines.
To validate its data-driven RTTR models, Anell partnered with Sentrisense, deploying SENTRI sensors directly on a live conductor. The objective: compare measured temperatures against algorithmic estimates, improve model accuracy, and pave the way for scalable smart grid solutions.
The Challenge
Anell, like many DSOs, historically relies on static and conservative assumptions when defining the current-carrying capacity of its lines. These estimates are often based on worst-case weather conditions and don't reflect the real-time thermal behavior of the grid.
The problem is twofold:
- Capacity is underestimated under favorable conditions
- Operators lack visibility to optimize the network dynamically
To support the grid's evolution, particularly as more renewable energy sources are integrated, Anell needed accurate, real-time conductor temperature data to train and validate an RTTR algorithm.
The Sentrisense Solution
What was deployed
- SENTRI sensors installed on a medium-voltage conductor in Anell's distribution grid
- Fully autonomous operation, capturing and transmitting temperature data in real time
- Lightweight, cost-effective sensor design optimized for easy installation and minimal disruption
What this meant for Anell
- Direct access to real conductor temperature under real grid load and weather conditions
- Ability to compare real-world measurements with OPENTUNITY's predictive thermal model
- Data to improve the accuracy and reliability of RTTR algorithms before wider deployment
- A practical, affordable way to gain field insight without full-scale sensor rollout
Results
Operational insight
- Real-time conductor temperature data received continuously
- Live validation of ambient + current-based RTTR estimations
- Improved understanding of how environmental conditions impact actual line performance
Strategic benefits
- Informed development of a scalable RTTR algorithm
- Smarter operation decisions during critical network events
- First step toward unlocking dynamic capacity across the grid
Technology validation
- SENTRI confirmed as a viable tool for affordable thermal monitoring in medium-voltage networks
Anell team"If we have better information on the capacity of our grid in real time, we can take better decisions when operating it at critical moments. Sentrisense's SENTRI Real-time thermal rating provides us just that."