PRESense is Camlin Energy’s next-generation monitoring solution. It leverages edge computing and data analytics to help network operators understand and manage the condition of their assets with greater certainty – and lower costs – on the road to net zero.
The drive to net zero is proving an interesting journey for DNOs. National Grid forecasts that EV numbers could range between 3 and 10 million by 2030, potentially hitting 36 million by 2040, and these projections were made before the official announcement of the ban of new sales of ICE vehicles from 2030. As UK consumers become more reliant on the continuity of their electricity supply, the expense and inconvenience of every LV fault represents a growing burden on network operators. To minimise these costs and unlock valuable incentive mechanisms, operators need commercially viable methods to help them highlight and manage developing issues on cables, transformers and other assets before service levels and customer satisfaction are impacted.
Armed with sufficient information about load profiles, cable condition and real-time power flows, operators can have a better chance of understanding the conditions of their LV network before an intermittent fault goes permanent. Specifically, they can make better-informed decisions when assets need to be replaced, or what other less costly interventions could be made.
The latest example of Camlin Energy’s commitment to helping DNOs understand and manage their assets more effectively and cost-efficiently is PRESense — our new, AI-enabled LV network monitoring solution. Powerful machine learning algorithms allow PRESense to identify subtle patterns and trends in network behaviour and power flows, helping build a detailed picture of likely fault activity, asset and network health.
In essence, PRESense is an edge computing device that’s installed at sub-stations and other supply points on the network. PRESense captures and analyses highly granular information on power flows, helping to spot a range of developing load issues. These include potential overload caused by increasing numbers of electric vehicles, problems caused by distributed generation (e.g. reverse power flows) and limited network capacity.
As well as voltage and current data, PRESense monitors and calculates a wide range of parameters that contribute to a comprehensive picture of network health.
PRESense feeds this data to advanced analytics platforms and aggregates it with meteorological and local geological data. This information is then weighted and processed to create a health index for each cable. In turn, this allows operators to instantly classify the status of each feeder.
Is it fault-free? Is there likely to be a one-off intermittent fault any time soon? Are there likely to be repeat faults that would benefit from fitting a recloser to the circuit? Or is there a continuing pattern of intermittent activity that’s indicative of a fault likely to go permanent?