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Project number: T1270

Managing traction power supply and demand in real-time so it is cheaper and more flexible and resilient


This research explored the data architecture and case for a smart power management solution.
'This research started the journey to better use of available power. I look forward to the next step.'
Dave Hewings
Head of Engineering & Asset Management, Wales and Western Region, Network Rail

The challenge

In parts of the network, demand for electric traction power is already considered to be at full capacity during peak hours.

Demand will only increase as more electric, battery, and multi-mode trains join the network. The current constraints on power from the overhead lines will therefore become more pressing and widespread.

Monitoring available traction power and being able to moderate demand from trains could help the industry mitigate this challenge. It could also help to manage battery charging more reliably and flexibly in the future.

What we did

We researched the feasibility and case for developing a smart energy management system (EMS) for the Network Rail Western Route.

This route was chosen because its Network Rail electrification equipment has real-time data on power supply. Also, because there are Traffic Management and C-DAS capabilities in place.

The findings confirmed the feasibility. They also developed a scalable architecture. This shows how an EMS could work across the GB network. There would be different levels of sophistication depending on local electrification infrastructure.

Benefits delivered

Our research has derisked this concept. It can now be pursued further with confidence.

We are leading work to develop and test the traction power algorithms that will sit at the core of the EMS. This will allow:

  • planning and delivery of more electric train paths in the timetable
  • more targeted capacity enhancements to electrification infrastructure
  • avoidance of overspecification of battery trains
  • increased service reliability, and resilience to disruption.