What Jim Carroll Saw Coming
Original archive: 2009-06-25 — Major trend - the emerging smart energy infrastructure.
Carroll’s earlier smart-energy-infrastructure writing described an electricity system becoming more connected and responsive. That provides a historical starting point for distribution automation, where sensors and switching systems can isolate faults and reroute electricity. The archive connection is the direction of grid intelligence, not an exact prediction of particular restoration performance.
What has changed in the real world
An electrical grid must find and isolate failures quickly while keeping dangerous conditions away from workers and the public. Modern distribution automation can use sensors, switches and protection logic to reroute power around some faults. In a network designed for that capability, parts of a district may return to service while a crew repairs the damaged equipment. But not every fault can be bypassed, and restoring power without confirming safety can create a bigger emergency.
Carroll’s 2009 smart-energy infrastructure discussion provides a historical thread for making the grid more aware of its own operation. The later growth of distributed generation, batteries and software raises a more difficult question about how power should flow after a disturbance. Network automation and virtual power plants are related but not identical ideas. One concerns detecting and isolating a problem; the other can coordinate flexible energy resources. The two may complement each other, but neither replaces physical protection engineering.
A fact that changes the scale of the question
In a Chattanooga distribution-automation case study, Lawrence Berkeley National Laboratory reported annual average outage-duration minutes falling 45%, from 112 to 61.8 minutes, comparing normal operations before and after automation. The original source is Chattanooga Distribution Automation — outage reliability case study. The distinction behind the number or capability matters just as much as the headline: Flexible loads reduce peaks, but do not by themselves detect a broken conductor, clear a fault or certify that restoration is safe. The point of introducing the fact here is to show the actual scale of the machinery, knowledge, data or infrastructure involved in this particular voyage. It is not evidence that the imagined 2040 destination is inevitable.
2040: one possible destination
An imagined scene, not an account of an event that has happened.
Imagine a windstorm in 2040. A fault occurs on a local distribution line, protective equipment isolates a small section and software proposes a safe alternate feed for unaffected streets. Utility operators confirm the plan while field crews attend to the damage. Some homes regain power quickly, but the broken line remains isolated until repaired. The scene illustrates selective resilience, not a self-healing grid that ignores electrical hazards.
One image captures the possibility: A local outage triggers coordinated switching that keeps many customers supplied. The conditions behind that image deserve attention. A future built around this capability would also change work, trust, operating costs or personal choices for someone outside the technology industry. That is why this voyage is less about predicting the arrival date of a device and more about understanding the environment that would let it matter. Different communities and businesses could arrive at the same destination at different speeds, or choose a different route altogether.
The detour that could change everything
Aging infrastructure, poor visibility and incompatible systems limit what automation can accomplish. The grid also faces cybersecurity threats and physical conditions that no remote command can fix. Communities may need hardening, vegetation management and new equipment as much as clever algorithms. For leaders, the danger is confusing a software feature with the verified operational ability to restore service safely.
There is no requirement that technical progress and adoption advance together. People may welcome one application and reject another. The most persuasive future is the one that survives comparison with cheaper, simpler or better-understood alternatives. This is also where the archive has value: an old idea can be supported in direction while the timetable, commercial model or surrounding institutions evolve in ways that could not have been obvious at the start. That history deserves to be told rather than edited into perfect hindsight.
The next chapter is still being written
The meaningful test is reduction in customer outage minutes and restoration time, with evidence of safe protection coordination. Compare similar weather and network conditions when evaluating improvements. The future grid should be measured by dependable service, especially when conditions are difficult.
The practical test is this: Distinguish established protective automation from speculative self-repair The question for the people making choices today is not whether the imagined 2040 scene is visually convincing. It is whether emerging evidence alters a real decision: where to invest, what to build, which safeguards to demand, and which assumptions should be checked again next year. How autonomous can infrastructure become while retaining accountable human control? The answer is not locked in. That is what makes tomorrow a voyage worth taking.