Network reinforcement isn’t enough - we need smarter maintenance decisions

Jonathan Lewin, Head of HV Monitoring at EA Technology 

Electricity networks are being asked to do far more than they were ever designed for. The systems that underpin modern life were built for a simpler era, in which they had predictable demand patterns and one way energy flows.  

Today, the picture is very different. Electric vehicles are plugging into residential streets, heat pumps are reshaping winter demand, and data centres are drawing huge amounts of power onto networks that weren’t built for that purpose.  

In response, the instinctive answer is reinforcement. Whilst it’s essential, it’s by no means a silver bullet, and rebuilding entire networks quickly enough to keep pace with change is neither practical nor affordable.  

The real opportunity in modernising the grid lies in intelligence - understanding how high-voltage (HV) assets like transformers, switchgears and cables are behaving, and using that data to make better informed decisions about when and where to act. 

An old network under new pressure 

Electrification of transport and heating is dramatically changing load profiles. Distributed energy resources like solar panels and batteries are making power flows more complex and less predictable. Where electricity once flowed neatly from large generators through transmission systems to customers, in many cases it now flows in two directions, indicating a far more complex network and signaling the end of simple directional flow. 

At the same time, climate pressures are increasing the stress on infrastructure. Higher ambient temperatures accelerate the aging of cables and transformers, whilst more frequent extreme weather pushes equipment closer to its operational limits. The result is a growing risk of insulation degradation and unexpected failures. 

Traditional maintenance strategies were not built for this level of complexity, with periodic inspections and time-based replacement cycles assuming relatively stable operating conditions. With modern energy systems, these methods risk missing early signs of deterioration while also driving unnecessary interventions on healthy equipment. 

Scheduled maintenance to condition intelligence 

A modern grid needs a modern solution, and by moving from time-based maintenance to condition-based decision making, digital monitoring and analytics become central to maintenance.  

With continuous network asset data, operators can detect subtle changes in behaviour long before they escalate into faults. Instead of relying solely on scheduled inspections, engineers can focus on real indicators of deterioration, enabling targeted maintenance and earlier intervention. The principle is simple but powerful. If operators can see the early signals of failure, they can act before customers ever notice a problem, ultimately putting an end to network faults.  

Partial discharge (PD) monitoring is a strong example of this approach in practice. PD activity is one of the earliest indicators of insulation breakdown in high-voltage equipment such as switchgears and cables. If left undetected, it can lead to catastrophic asset failure.  

With the right monitoring techniques, it can be identified and addressed at a much earlier stage, and at EA Technology, we designed the UltraTEV Plus2 specifically for this purpose. Tools like this make condition-based testing significantly easier, and engineers can use the technology to detect the signals typically associated with PD during routine site inspections.  

Meanwhile, continuous monitoring solutions provide ongoing visibility into asset health, alerting operators to emerging risks in real time. These insights transform maintenance from reactive firefighting into proactive asset management. 

Intelligence requires trusted data 

However, monitoring alone is not enough. Data only becomes valuable when it is reliably collected and interpreted correctly.  The solutions available to HV asset owners can capture every aspect of a network’s health and performance, but without the capability to parse this data effectively, it’s limited in value. Especially in cases where data may be siloed or fragmented across teams. 

An easy-to-use software is paramount to help interpret this data, and by using platforms like EA Technology’s Managed Surveys, operators are empowered to make better decisions around asset management and maintenance. 

In practice, these systems break down the barriers between teams and present engineers, planners, and asset managers with a shared view of the network. As a result, it becomes far easier to identify genuine network risks when regular monitoring data is combined with historical performance and operational load.  

Without that joined-up intelligence, even the most advanced monitoring technology risks becoming just another stream of unused data. 

Smarter decisions for the energy transition 

If operators can streamline their data, it paves the way for smarter investments. Smarter maintenance and better intelligence give network operators greater confidence in those decisions.  

Continuous monitoring can reveal which assets are approaching failure and require reinforcement and show where infrastructure remains healthy and can safely operate for longer, supported by condition monitoring rather than immediate replacement. 

This ability to differentiate helps direct limited resources to where they will have the greatest impact, whilst also reducing unnecessary disruption and ensures investment aligns with real network needs. 

Ultimately, the goal is not simply to build more grid infrastructure, it’s to build a smarter grid - one that understands its own condition, and provides asset owners with the information needed to ensure smooth operation. 

That's the real meaning of modernisation. We shouldn’t just reinforce what we have but be able to understand our infrastructure better. In the race to build a resilient, net zero energy system, that understanding may be the most valuable upgrade of all.