“Self-healing grids restore power up to three times faster than traditional networks” is the kind of line that shows up in almost every smart-grid pitch deck. Dig into the utilities actually running the technology and the real number turns out to be far more interesting — and far more variable — than any single multiplier suggests.
Start with what “self-healing” actually is, because the term does a lot of work it doesn’t fully earn. It isn’t a single product. It’s a layer — usually called FLISR, for fault location, isolation and service restoration — that sits on top of a distribution network’s existing switchgear and communications. When a fault occurs, line sensors and remote terminal units detect the anomaly and report it to a central system, typically an advanced distribution management system (ADMS). That system’s FLISR logic pinpoints the faulted section, opens the switches needed to isolate it, then closes “tie switches” that reconnect healthy sections of the feeder to an alternate source — rerouting power around the damage rather than waiting for a crew to find and fix it. Crews still have to physically repair the fault; what FLISR changes is how many customers stay in the dark while that happens, and for how long.
The claim, tested against real deployments
So does it restore power three times faster? The honest answer is: sometimes it’s a fraction of that, and sometimes it’s an order of magnitude more.
At the conservative end, National Grid reports that its FLISR rollout — now covering roughly a third of its Massachusetts customers and 17% of its New York customers — cut outages by 10–11% during severe weather events, with typical fault response inside about a minute. That’s a meaningful reliability gain, but nowhere near “three times.”
At the other end, UK Power Networks’ experience with GE Vernova’s PORT system, which extends FLISR logic up to 33kV primary substations, is a different story entirely: restoration that “typically” took up to 30 minutes has been cut to under three — closer to a tenfold improvement — across a system that has automatically restored supply to more than 72,000 customers since the technology went live in 2020. Duke Energy, running self-healing switching across the Carolinas, says it can restore power in under a minute for events where the network can reroute around the fault, and credits the approach with avoiding more than 300,000 extended outages and 850,000 hours of cumulative lost outage time in a single year. Entergy’s roughly 400 self-healing network segments — 1,483 automated reclosers across a quarter of its circuits — prevented an estimated 50 million outage-minutes since 2020, including over 12,000 avoided interruptions during a single January 2026 winter storm.
A “three times faster” figure isn’t wrong so much as it’s the wrong way to ask the question. The technology doesn’t have a fixed speed-up factor. It has a ceiling set by something engineers control directly: the network itself.
What actually sets the multiplier
The gap between National Grid’s 10% and UK Power Networks’ roughly tenfold improvement comes down to topology, not software. FLISR can only reroute power onto a healthy path if a healthy, switchable path exists to reroute it onto — which means the size of the win scales with how meshed the network is and how many automated tie points sit between feeders. A radial rural feeder with no alternate source can localise a fault and speed up crew dispatch, but it usually can’t restore the customers downstream of the damage at all until repairs are made; a well-meshed urban network with dense RTU and switch coverage can shuffle load across multiple healthy paths almost immediately. Sensor and RTU density matters just as much: UK Power Networks’ PORT system runs on top of 35,000 secondary and 1,500 primary remote terminal units — without that density of visibility, the ADMS is reconfiguring blind.
That distinction matters more as more distributed generation and storage get added to these networks. A feeder with enough local generation to support intentional islanding — keeping a de-energised section powered from local solar or storage rather than the main source — pushes the achievable restoration time even further ahead of a simple switched-reroute scheme, though it also adds real protection-coordination complexity that most current FLISR deployments haven’t fully absorbed yet.
Why the investment case is accelerating anyway
None of this variability is slowing spending down. The global self-healing grid market was valued at roughly $9.04 billion in 2025 and is forecast to reach $16.48 billion by 2030, a 12.8% annual growth rate, with renewable integration cited as a primary driver — the International Energy Agency’s tracked 50% jump in global renewable capacity additions in 2023 means more variable generation to balance, and utilities are treating automated reconfiguration as part of how they manage that, not just as a reliability add-on.
The engineering takeaway
For engineers deciding where to put capital, the practical lesson isn’t “buy self-healing technology” — it’s that the return on FLISR is a direct function of tie-switch density, RTU coverage and network meshing on the specific feeders being upgraded, not a fixed multiplier that transfers from one utility’s press release to another’s business case. A feeder with no alternate source to switch onto will see FLISR speed up fault location and crew dispatch, but not deliver anything close to UK Power Networks’ sub-three-minute restorations. Modelling the achievable improvement on actual feeder topology, before committing to a deployment, is the difference between a genuinely transformative upgrade and a marginal one wearing the same “self-healing” label.
