Self-healing grid is a widely used phrase, but the mechanics behind it are specific. The capability rests on a well-defined function called Fault Location, Isolation, and Service Restoration, commonly abbreviated FLISR, which is executed by an Advanced Distribution Management System (ADMS). AI is entering this space, but its role is advisory: the ADMS remains the authoritative system that opens and closes switching devices.
What FLISR Actually Does
When a fault occurs on a distribution feeder, a FLISR-enabled ADMS runs a three-step sequence. First, it uses fault indicator data and protective relay signals to locate the faulted segment. Second, it automatically opens the switching devices that bracket that segment, isolating it from the energized network. Third, it identifies alternate supply paths and recloses sectionalizing switches to restore power to the customers who were de-energized but are not on the faulted segment itself.
On a well-configured feeder with automated switches, this entire sequence can complete in under two minutes without dispatcher involvement. Platforms such as GE Vernova GridOS, Schneider Electric EcoStruxure ADMS, and Oracle Utilities Network Management all implement FLISR as a core module rather than an add-on.
Where AI Adds Value Without Replacing the ADMS
The ADMS holds the network topology model, the switch states, and the protective device settings. AI models do not have direct write access to switching devices. Instead, they work with the data the ADMS exposes.
Practical AI use cases that utilities are deploying today include:
- Pre-fault pattern recognition. Models trained on AMI interval data from Itron or Landis+Gyr meters and distribution sensor streams can flag feeder sections showing voltage anomalies that precede insulation failures. The output is a maintenance work order recommendation, not an automated switch action.
- Switching plan optimization. Before a planned outage, AI can evaluate hundreds of possible switching sequences against load forecasts and suggest the plan that minimizes customer-minutes interrupted. The ADMS dispatcher reviews and approves the plan before execution.
- Post-fault load rebalancing. After FLISR has restored customers via alternate paths, AI can recommend further load transfers to reduce overloading on the alternate feeder. Again, a controlled workflow in the ADMS confirms the action.
SAP BTP AI services and Oracle’s embedded analytics in Oracle Utilities Network Management are the two most common enterprise-grade integration points for these recommendation workflows. Neither bypasses the human-in-the-loop requirement for switching operations.
Voltage and VAR Optimization Working Alongside FLISR
Volt/VAR optimization (VVO) is a related ADMS function that continuously adjusts capacitor banks and voltage regulators to maintain voltage within acceptable limits. Like FLISR, VVO is an automated ADMS function. AI-based forecasting of distributed energy resource (DER) output, particularly solar generation variability, can improve the setpoints VVO uses, but the optimization loop itself runs inside the ADMS.
DERMS platforms such as AutoGrid handle the DER side, coordinating battery storage dispatch or demand response, and feed aggregated flexibility signals to the ADMS. This is a co-ordination architecture, not a replacement of the ADMS control plane.
Implementation Realities
Achieving full FLISR automation requires adequate automated switch density on feeders, a reliable communication network to those switches, and an accurate network model in the ADMS. Utilities running aging infrastructure on manual switches get little value from AI-assisted FLISR recommendations until the underlying switching hardware is upgraded.
For utilities exploring this path, a broader review of grid intelligence strategy belongs in the smart grid optimization and AI context, and the operational AI layer sits within the wider AI for utility operations discussion. Oracle Utilities practitioners can review the Oracle Utilities pillar for platform-specific guidance, and SAP-based utilities should look at SAP IS-U integration patterns.
Avansaber’s advisory team works with utilities on ADMS selection, FLISR configuration, and the AI integration layer. Reach out via Avansaber Contact to discuss your distribution automation roadmap.