CurrENT Grid Compass
Dynamic Line Rating Adoption
The map is a visualization of the DLR adoption score (0–100) of the electrical grid, based on how widely and effectively Transmission System Operators deploy Dynamic Line Rating (DLR). Each region is color-coded by performance, reflecting the share of lines and kilometers equipped with DLR, recent expansions since 2021, and the resulting ampacity gains. A higher score is reflected by a light blue color and a lower score is reflected by a dark blue color. Grey indicates insufficient publicly available data to derive a score.
Data sources and methodology
Data sources
What data sources were used to calculate the key performance indicators?
You can find below the data sources used to calculate the CurrENT Grid Compass KPIs:
- JAO’s Static Grid Model In particular, the data relating to lines, tie lines, transformers (Maximum Current, Periodically, Fixed, DLR, Electrical parameters), transformers (Phase Shifting Properties), remedial actions, changelog of the 6 releases from 2021 to 2024 are used.
- ENTSO-E Transparency Platform The data relating to Total Load – Actual, Total Generation per Production Type, Redispatch costs, Redispatch volumes, Redispatch Internal quantity, Redispatch Cross-Border quantity for years 2016, 2021, 2023 are used.
- Elia’s OpenDataElia The data related to physical flows on the Belgian high-voltage grid are used.
- Compass Lexecon’s Prospects for innovative power grid technologies – June 2024. The information on the potential impact of that deploying innovative grid technologies can have in helping Europe achieve its decarbonisation goals has been taken from this study.
- ACER’s Progress of EU electricity wholesale market integration – 2024 Market Monitoring Report, published on 14 November 2024.
- ACER’s Transmission capacities for cross-zonal trade of electricity and congestion management in the EU – 2024 Market Monitoring Report, published on 03 July 2024.
- PwC’s Unit Investment Cost Indicators – Project Support to ACER, published on 14 June 2023.
- ENTSO-E’s Ten Year Network Development Plan 2024 In particular, the information on the Cost-Benefit Analysis Framework is used.
Data sources and methodology
How is Dynamic Line Rating Adoption calculated?
The Transmission Efficiency indicator is calculated by combining the weighted results of seven different sub-indicators. These sub-indicators assess:
- Whether Dynamic Line Rating have been applied by Transmission System Operators (TSOs) across Europe;
- The extent to which this technology has been deployed;
- The efficiency gains this technology has been delivered to the system;
- The overall adoption rate of these technologies.
By analyzing these elements, the Dynamic Line Rating indicator gives users an overview of how extensively DLRs have been implemented in different European countries and how much they contribute to improving grid efficiency. You can hover on the map to discover each sub-indicator and the related score.
How are 7 sub-indicators of Dynamic Line Rating adoption calculated?
- Sub-KPI 1A: DLR deployment on lines and interconnectors. The 1st sub-indicator measures whether the TSO has started using Dynamic Line Rating (DLR) technology on its network. DLR allows power lines to carry more electricity when conditions permit, improving efficiency.
- Has the TSO equipped any lines with DLR?
- Yes: 5 points
- No: 0 points
- Has the TSO equipped any interconnectors (cross-border lines) with DLR?
- Yes: 5 points
- No: 0 points
- Has the TSO equipped any lines with DLR?
- Sub-KPI 1B: Share of lines equipped with DLR. The 2nd sub-indicator measures how much of the TSO’s total network already benefits from DLR technology.
This sub-indicator calculates the percentage of all lines operated by the TSO that are equipped with DLR. - Sub-KPI 1C: Length of DLR-Equipped Lines. The 3rd sub-indicator measures the total physical length (in kilometres) of DLR-equipped lines, compared to the total length of all lines in the TSO’s network. This helps show how extensively DLR has been rolled out in each TSO’s grid.
- Sub-KPI 1D: New DLR Installations Since 2021. The 4th indicator measures how much new DLR has been installed since 2021.
The formula compares the total length of DLR-equipped lines in 2024 with the length in 2021, divided by the total line length.
Formula:Where:
lDLR= total length of DLR-equipped lines
lALL= total length of all lines
- Sub- KPI 1E1: Average ampacity gains per line (2024 vs 2021). The 5th sub-indicator measures how much the average electricity-carrying capacity (“ampacity”) of lines has increased thanks to DLR, comparing 2024 to 2021.
Ampacity is the maximum current a line can safely carry. DLR allows lines to carry more power when conditions are favorable.
Parameters used:- Amax – Maximum ampacity per line (maximum DLR vs. standard rating)
- Amin – Minimum ampacity per line (fixed at 1, meaning no gain beyond normal ratings)
- Afix21 – Fixed ampacity for 2021 (a fallback value if 2024 standard ratings are missing)
- Arated – Rated ampacity in 2024 (standard rating for 2024)
- Gmin – Minimum ampacity gain (set to 1)
- Gavg – Average ampacity gain (the system-wide average of AavgArated\frac{Aavg}{Arated}AratedAavg for each line)
- Sub- KPI 1E2: Average ampacity gains per interconnector (2024 vs 2021). The 6th sub-indicator measures the same type of ampacity gain, but focused only on interconnectors — the cross-border lines that link grids between countries.
- This uses similar parameters to the previous sub-indicator but applies fewer TSO-specific constraints.
- Maximum gains (Gmax) are calculated using combinations of different factors.
- Sub-KPI 1F: Overall Average Ampacity Gains (2024 vs 2021). The 7th sub-indicator measures the overall average improvement in ampacity across all lines and interconnectors, comparing 2024 to 2021.
This provides a high-level summary of grid-wide improvements in transmission capacity due to DLR.Parameters:- Amax1 – Average maximum ampacity for lines, weighted by total DLR line length
- Amax2 – Average maximum ampacity for interconnectors, weighted by total DLR interconnector length
Formula: Amax1 + Amax2 for 2024 / Amax1 + Amax2 for 2021 per TSO
This final indicator gives a clear picture of how much more electricity the grid can carry in 2024 compared to 2021, thanks to the adoption of DLR technologies.
What are the scores for each sub-indicator of Dynamic Line Rating adoption assigned?
The below table outlines the value range for each sub-indicator, the maximum score that can get assigned for each sub-indicator and the formula for weighting the score.
| Sub-KPI | Value range | Max points | Calculation in the scoreboard |
| 1A | 0, 5, 10 | 20 | Sub-KPI value *2 |
| 1B | 0.00 to 1.00 | 10 | Sub-KPI*max points |
| 1C | 0.00 to 1.00 | 20 | Sub-KPI*max points |
| 1D | 0.00 to 1.00 | 5 | Sub-KPI*10, max 5 |
| 1E1 | >=0 | 15 | If 0, then 0, else (Sub-KPI-1)*100, max 15 |
| 1E2 | >=0 | 15 | If 0, then 0, else (Sub-KPI-1)*100, max 15 |
| 1F | >=0 | 15 | If 0, then 0, else (Sub-KPI-1)*100, max 15 |
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About this map
Using data from multiple public sources (including ACER and ENTSO-E), CurrENT has presented the results in an interactive format. This map is a visualization of the DLR Adoption score of the electrical grid on a scope from 0 to 100, based on how widely and effectively Transmission System Operators deploy Dynamic Line Rating (DLR). Each region is color-coded by performance, reflecting the share of lines and kilometers equipped with DLR, recent expansions since 2021, and the resulting ampacity gains. A higher score is reflected by a light blue color and a lower score is reflected by a dark blue color.
Europe’s energy transition will be driven by a large increase in electricity demand and renewable energy integration to the system. This transition will require TSOs to optimize the use of existing grids to avoid congestion and instability, especially considering the cost and long timelines for grid expansion. Dynamic Line Rating (DLR) is a technology used to monitor the real-time capacity of overhead power transmission lines using sensors. It is a proven tool to improve grid efficiency. The Transmission System Operators will face challenges in the future and Dynamic Line Rating will be key to optimizing and efficiently using existing grids without waiting for new infrastructure.
CurrENT’s study with Compass Lexecon, “Prospects for Innovative Grid Technologies” shows that Innovative Grid Technologies can increase the efficiency of transmission grids. In this regard, Dynamic Line Rating can enable higher renewables integration by enabling TSOs to optimize line utilisation.
Indeed, DLRs can increase the capacity of the lines by an average of 10% to 45%. It will enable TSOs to identify the real capacity of the grid at a given time and dynamically adjust operational line limits while ensuring network security and reliability.
DLR, when combined with other complimentary Innovative Grid Technologies such as Inertia Management Systems, Advanced Conductors and Superconductors effectively create a multiplier effect for efficiency and speed of grid enhancement. The widescale development of Innovative Grid Technologies like DLRs is essential to ensure that Europe is able to maximize the use of the energy it generates, reducing the end cost for consumers, and facilitating the mass uptake of renewables.
Table : Overview of Dynamic Line Rating adoption score and data availability.
| Country | TSO | Performance | Comment |
|---|---|---|---|
| Austria | APG | Low | |
| Belgium | Elia | High | |
| Bulgaria | ESO EAD | - | Unavailable data |
| Croatia | HOPS | Low | |
| Czech Republic | ČEPS | Medium | |
| Denmark | Energinet | - | Unavailable data |
| Estonia | Elering AS | - | Unavailable data |
| Finland | Fingrid | - | Unavailable data |
| France | RTE | Low | |
| Germany | 50Hertz Transmission | Low | |
| Germany | Amprion | Medium | |
| Germany | Tennet GMBH | High | |
| Germany | TransnetBW | Low | |
| Greece | IPTO/ADMIE | - | Unavailable data |
| Hungary | MAVIR | Low | |
| Italy | Terna S.p.A | - | Unavailable data |
| Latvia | AST | - | Unavailable data |
| Lithuania | Litgrid AB | - | Unavailable data |
| Luxembourg | Creos | Low | |
| Netherlands | TenneT | Low | |
| Norway | Statnett | - | Unavailable data |
| Poland | PSE | High | |
| Portugal | REN | - | Unavailable data |
| Romania | Transelectrica | Low | |
| Slovakia | SEPS | Low | |
| Slovenia | ELES | Low | |
| Spain | Red Electrica | - | Unavailable data |
| Sweden | Svenska kraftnät | - | Unavailable data |
| Switzerland | Swissgrid | - | Unavailable data |
Legend :
- On a range between 0/100 and 40/100 : Low performance
- On a range between 20/100 and 60/100 : Medium performance
- On a range between 60/100 and 100/100: High performance
- The – represents countries where no public data was available
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