Completed Engineering Clean Energy

Enhanced Management and Performance for a Sustainable UK Energy Infrastructure

In plain English

AI plain-English summary

Britain’s electricity grid is ageing, and the push for renewable energy is pushing it harder than ever. Network operators need to know exactly how old transformers, cables, and overhead lines are degrading under new, more variable loads. This project will develop sensors and software to monitor the condition of individual pieces of equipment—from a single underground cable to an entire substation—and predict when they are likely to fail. It will also create tools to help utilities decide where to build new renewable generators and how much to charge for transporting that power. If successful, the work will let network owners run more power through existing infrastructure without risking blackouts, and spend less on unnecessary replacements. Consumers would see fewer interruptions. The research also tackles environmental problems directly: it will explore ways to cut the use of SF₆, a potent greenhouse gas used in switchgear, and reduce oil leaks from underground cables. This is applied engineering, not fundamental science. The team of six universities has partnered with major utilities and manufacturers, so the results are designed to feed straight into real-world maintenance and investment decisions.

View original technical description
Electricity transmission and distribution companies in the UK face serious challenges in continuing to provide high reliability from ageing networks. This is made more difficult by increasing economic and environmental pressures. The problems will become worse as the operating conditions of the networks are changed, to allow for the production of more electricity from renewable sources.To meet this challenge, network owners and operators need better knowledge of plant ageing and improved techniques to monitor its condition.As power is generated in different locations, so the pattern of current flow through the network changes. This alters the temperature of plant items (like transformers, overhead lines and underground cables), which make up the network. Other changes in operating conditions, such as when switches are operated, will affect the stresses seen by plant. We will investigate the effect of the new operating demands on individual items of plant in order to predict their effect on the reliability of the network.We will also investigate some innovative techniques for monitoring plant condition. These will range from techniques which give a general indication of the health of an entire substation, down to those which give detailed information on a specific item of plant. The work will look at new sensors, data capture, data management and data interpretation. Network owners and operators also need improved methods of protecting and controlling the network. New software tools will help them plan replacements as parts of the network wear out. Our work will help get the most power through the ageing network and allow owners to invest in new or replacement plant in a cost-effective way. All this has to be done while maintaining or improving the security of supply and taking into account interactions between gas and electricity networks. Software tools will be developed to calculate the optimum size and location of new generating plant and to calculate the cost that should be charged to transport electricity from a particular location.Finally, research into electrical plant with reduced environmental impact will allow the use of environmentally friendly replacements. There are three main aspects to this work: exploring methods of reducing the use of SF6 (a greenhouse gas), examining techniques for transmitting more power down existing lines and investigating methods of reducing environmental impacts (for example, oil leaks) from underground cable.EPSRC has assembled a team of six universities, which have the skills needed to tackle these challenges. These universities have worked closely with major electric utilities and equipment manufacturers to prepare this proposal. The industrial partners will provide a valuable contribution, both through funding and also by supplying their technical expertise and guidance.Our work will benefit electricity utilities, which will spend less on maintenance and get more for their money when buying new plant. Consumers will gain through improved reliability of their electricity supply. UK manufacturers will be able to exploit the new condition monitoring and diagnostic techniques. Society in general will benefit through reductions in environmental impact.

View the original record at the funder ↗

Researchers

Alun Vaughan (Co-Investigator)Brendan Fox (Co-Investigator)D Morrow (Co-Investigator)Gareth Harrison (Co-Investigator)George Chen (Co-Investigator)I Cotton (Co-Investigator)J Spencer (Co-Investigator)James McDonald (Co-Investigator)Janusz Bialek (Co-Investigator)Jiu Yan (Co-Investigator)John Goulermas (Co-Investigator)Martin Judd (Co-Investigator)Paul Lewin (Co-Investigator)Peter Crossley (Co-Investigator)Richard Anthony Fouracre (Co-Investigator)Robin Wallace (Co-Investigator)Simon Rowland (Co-Investigator)Stephen McArthur (Co-Investigator)Steve Swingler (Principal Investigator)Tim Littler (Co-Investigator)Zhongdong Wang (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Transformation of the Top and Tail of Energy Networks
Increasing the Observability of Electrical Distribution Systems using Smart Meters (IOSM)
Integrated Operation and Planning for Smart Electric Distribution Networks (OPEN)
Resilient Operation of Sustainable Energy Systems (ROSES)
Sustainable urban power supply through intelligent control and enhanced restoration of AC/DC networks

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.