Secure's Adaptricity.VIS solution delivers clarity and insight to an increasingly complex grid

Distribution networks around the globe are facing unprecedented pressure today. With the rapid growth of Low Carbon Technologies (LCTs) such as electric vehicles, solar roofs, heat pumps, and other prosumer-driven innovations, power flows have become increasingly fluctuant and bidirectional. Utilities are now challenged by rising voltage unbalance, unpredictable load patterns, fluctuating energy injections, and frequent power quality issues. All of these factors increase the risk of technical violations, customer disturbances, and grid stress.

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These emerging challenges demand greater visibility, smarter decision-making, and faster operational responses than traditional monitoring tools can provide.

While grid operators work to maintain reliability, most conventional systems offer only limited visibility and static information. This makes it difficult to detect unusual network conditions, predict overload scenarios, optimise feeder utilisation, or plan for the impact of growing LCT technologies. In a world moving toward distributed energy resources and active consumers, utilities need real-time intelligence, not reactive operations.

What makes the situation more complex is the evolving role of Distribution System Operators (DSOs). Their responsibilities have expanded far beyond energy delivery as they are now expected to integrate distributed generation, manage rapid electrification, support new consumer technologies, and ensure stability in an environment where variability has become the norm. Traditional planning cycles and manual data analysis methods are no longer sufficient, especially when system behaviour can change dramatically within minutes. DSOs need tools that help them stay ahead of these dynamics rather than respond only when issues arise.

The growing momentum around LCTs and decarbonisation has also increased uncertainty in network behaviour. Rapid adoption of EVs and heat pumps has made demand patterns more volatile, while rooftop solar has created midday reverse flows and reduced predictability. Without advanced digital tools, DSOs struggle to determine whether issues stem from demand spikes, generation surges, asset limitations, or operational imbalances. This lack of clarity increases operational risk and makes proactive decision-making harder.