UK Power Networks and Scottish and Southern ElectricityNetworks are trialling a futuristic technology designed to prevent power cuts to customer’s homes.
The project sees the electricity distribution networks collaborate with New Zealand innovators, Lord Consulting, and UK innovators, NortechManagement Limited, in an innovation project facilitated by the EIC.
Testing of the Distribution Fault Anticipation (DFA) technology is being carried out by UK Power Networks in the South East and East of England as a way to spot network faults, before they interrupt people’s supplies. The DFA-Plus device monitors voltage and current on electricity circuits and matches any abnormal waveforms with a library of most likely causes.
The system works at high sampling rates to detect even tiny disturbances on the network that are not usually visible using traditional network protection devices. During testing, the technology revealed disturbances on two separate cable terminations, up to eight weeks before they interrupted power supplies.
Trevor Lord, LORD Consulting’s director, said:
“It has been both our pride and pleasure to participate in the application of the DFA technology on the UK Power Networks’ network. The contributions to date, even at this relatively early stage of deployment, have been very positive.”
UK Power Networks has installed nine devices, each about the size of a small games console, at primary substations. Each one continuously monitors an 11,000 or 33,000-volt electricity circuit up to several kilometres long serving thousands of homes and businesses. The sites include Aldreth in Cambridgeshire, Bungay in Suffolk, Canterbury, Chartham, New Romney, Broad Oak and Strood in Kent. Engineers will install one more at Caddington in Bedfordshire, and plan to order five more.
Chino Atako, senior asset engineer at UK Power Networks, said:
“The advantage of using these units is that we now have more eyes on the network to see things we wouldn’t normally be able to see - which could enable a quicker, cheaper, more proactive approach to fault location and repairs.
“Traditionally, repairs are carried out after a fault which has led to customers losing supplies, but such events are preceded by pre-fault events we cannot usually see. If we could identify these we can further increase the reliability and efficiency of our network and cut the cost of repairs.”
Scottish and Southern Electricity Networks (SSEN) will also install 15 individual units on its southern network, which serves 3.1 million customers across areas including Berkshire, Hampshire, Oxfordshire, Wiltshire and West London.
George Simopoulos, SSEN’s Innovation Project Manager said:
“SSEN embraces the use of cutting-edge technology on our network that can improve both the service and power supply we provide to our customers, and the efficient and safe working practices of our engineers.
“The ability to monitor our network - and therefore pre-empt potential power cuts – greatly reduces the risk of unplanned outages, enables us to act quickly when issues are highlighted through the DFA system and reassures our customers that we are proactively using innovative systems to provide them with a more resilient power supply.
“Taking part in this programme and sharing knowledge with our partners in this year-long trial is a great example of collaborative working to benefit many millions of homes and businesses in southern England.”
Nathan Dyke, Innovation engineer at the EIC, said:
“This project is a fantastic example of our electricity network partners collaborating with innovators from the UK and across the globe, to explore solutions that could improve customers’ lives and build an even more resilient energy network.
“I’m really excited to see the benefits that this technology could have for customers, especially for those most vulnerable, in preventing power outages to their homes. Now more than ever, it is crucial that supply remains uninterrupted and that we all stay connected.”
The trial runs until February 2022 when the team aim to validate the approach that faults can be pre-empted by monitoring high voltage feeders in real time at very high sample rates.
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