National Grid Rollout New Technology To Expand The Capacity Of Existing Power Lines
The title of this post, is the same as that of this press release from National Grid.
These four bullet points act as sub-headings.
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Latest rollout of Dynamic Line Rating (DLR) technology highlights spare capacity on existing power lines allowing greater power flows
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New instalments on 585km of key north to south transmission network routes has the potential to save consumers up to £50 million in constraint costs
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Over the last five years DLR has saved £21million in constraint costs and complemented upgrades to the existing transmission network (such as reconductoring and the use of power flow controllers) which have added over 16GW of new capacity to the existing network.
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National Grid is unlocking more power from the existing grid faster and more cheaply, using innovative technology to meet increased demand, alongside constructing new infrastructure.
These first three paragraphs of the press release describe National Grid’s use of Dynamic Line Rating.
National Grid has announced a significant expansion of Dynamic Line Rating (DLR) technology across its electricity transmission network in England and Wales. Under a new five-year contract, Dynamic Line Ratings will be deployed across an additional 585km of key north-to-south transmission routes, potentially saving consumers up to £50 million over the next five years.
Meeting the growing demand for electricity requires both new infrastructure and smarter use of what already exists. DLR is an innovative yet proven technology that continuously monitors overhead line conditions to calculate a real-time capacity rating based on actual conductor behaviour and local weather, rather than the fixed conservative assumptions that have historically governed line ratings.
The result is a safe, reliable optimisation of available capacity on existing infrastructure, with the sensors and data analytics platforms allowing for a safe increase of the power carrying capacity of a circuit by an average of 8%. This reduces the need for constraint payments, where a generator is paid to stop generating to avoid overloading the electricity network.
This is an brilliant application of instrumentation, automation and very smart computing, that creates an average of eight per cent more capacity in the National Grid.
It’s like smart motorways for electrons, that from the press release appears to work.
I have some thoughts.
Reconductoring Is Mentioned
I suspect that the grid is highly instrumented and the grid can pick up areas that need to be replaced, but the masses of data a system like this will collect, will only improve their knowledge of the grid and give better predictions of where and how cables need to be replaced. Sophisticated modelling will also indicate, things like whether fatter cables here and there could squeeze more capacity into the network.
In the 1970s, I provided the software for the Water Resources Board to analyse and plan the pipelines and reservoirs for water supply in large parts of England.
Given that over the years, most of the problems over the years with the water industry, seem to apply to sewage, ownership, politics, equipment failure, rather than taps actually running dry, I suspect that Dr. Dimeloe and his team did a magnificent job. I would love to know the truth from one of the team.
As fifty years later, modelling software must be more sophisticated, I suspect a continuous analysis of the grid could give substantial benefits.
More And Better Sensors Will Be Developed
As needs arise, the systems will get more and more sophisticated and I wouldn’t be surprised to see the capacity of the grid increase by more than expected.
There Are 4,000 Miles Of High Voltage Overhead Lines In The UK
So if, National Grid can get an eight percent increase as the press release indicates, they might be able to add the equivalent of 320 miles to the electricity transmission network, without the hassle of applying for planning permission or dealing with Nimbies.
There might also be a cost saving as Google AI indicated that high voltage transmission lines cost around two million pounds per mile.
I Can Envisage Sophisticated Connection Networks For Offshore Wind Farms Using Coastal Or Even Offshore Batteries To Maximise The Energy Generated
Consider.
- The output of a wind farm varies throughout the day and night.
- Some of the variation in a wind farm’s output may be predictable.
- Batteries and/or capacitors are good at smoothing variation in electrical power output and demand.
- Capacitors are useful for smoothing out high-frequencies.
- Highview Power are now building a 50 MW/300 MWh and a 500 MW/3.2 GWh battery, that both come with a sophisticated control system, they call a stability island providing inertia (frequency stability), short-circuit strength, and voltage control.
- Dynamic Line Rating can be applied to the transmission line, that connects the wind farm and the battery to the grid.
Getting all these assets to work as a team, is a challenge some of the world’s best engineer/programmers would relish.
I could envisage, that systems like this could deliver hundreds of mill-pond smooth megawatts, that would be just what data centre owners wanted and needed.
Conclusion
The application of Dynamic Line Rating is going to revolutionise the electricity grid all over the world.
May 4, 2026 Posted by AnonW | Computing, Energy, Energy Storage | Automation, Cables, Data Analysis, Data Centre, Dynamic Line Rating, Google AI, Innovation, Mathematical Modelling, National Grid, Nimbies, Offshore Wind Power, Planning Permission, Sensors, Stability Island, Water Resources Board, Wind Power | Leave a comment
About This Blog
What this blog will eventually be about I do not know.
But it will be about how I’m coping with the loss of my wife and son to cancer in recent years and how I manage with being a coeliac and recovering from a stroke. It will be about travel, sport, engineering, food, art, computers, large projects and London, that are some of the passions that fill my life.
And hopefully, it will get rid of the lonely times, from which I still suffer.
Why Anonymous? That’s how you feel at times.
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