Artificial intelligence (AI) and machine learning are transforming transmission and distribution operations, turning SCADA (Supervisory Control and Data Acquisition) systems into intelligent, adaptive platforms for a more efficient and resilient grid.
Efficiency across the grid
AI improves efficiency in both transmission and distribution. On the transmission side, machine learning models optimize power flows, reduce line losses, and enhance load forecasting. In distribution, AI analyzes feeder-level data to balance distributed energy resources (DERs), manage voltage profiles, and coordinate storage assets, ensuring energy is delivered reliably and efficiently to members.
Reliability through prediction
Predictive analytics are reshaping reliability. AI detects anomalies in substations, relays, transformers, and field devices before failures occur, allowing proactive maintenance and minimizing outages. Transmission operators prevent cascading failures, while distribution utilities leverage AI-enhanced SCADA and Advanced Distribution Management System (ADMS) platforms for early outage prediction, enabling faster recovery and adaptive network management.
The next generation of AI and SCADA systems
SCADA systems are evolving into proactive, intelligence-driven platforms.
- Edge analytics: By analyzing data locally at substations, feeders, or field devices, edge AI reduces response times and supports quick decision-making.
- Digital twins: Virtual models of grid assets replicate physical operations, allowing operators to simulate scenarios, evaluate performance, and plan interventions before impacting the live system.
- Autonomous grid recovery: AI-powered networks can identify faults, isolate affected segments, and automatically reroute power to maintain continuity and minimize customer impact.
- Industrial Internet of Things connectivity: Integration with smart sensors, meters, and industrial devices creates a unified, interoperable network, enhancing visibility and control across all layers of the grid.
These advancements are transforming SCADA from a reactive monitoring tool into a central decision-making engine, enabling both transmission and distribution utilities to operate the grid more efficiently, adaptively, and resiliently.
Safeguarding our members’ data and the grid in a changing world
As technology continues to evolve, one thing remains constant — the cooperatives’ dedication to protecting members and the integrity of the electric grid.
The integration of advanced tools, like AI, brings exciting opportunities but also important responsibilities. Investing in cybersecurity internally and for field devices helps ensure that innovation is matched with robust protections.
Some security efforts include system architecture, conducting regular penetration testing, and collaborating closely with trusted partners, including the National Rural Electric Cooperative Association (NRECA), the Department of Energy, and national security agencies such as the CIA and FBI. These partnerships help keep cooperatives informed, prepared, and proactive.
While the tools may change, the cooperatives’ priorities never do. Member data and the reliability of the grid remain in safe hands.
Colton Carden is Director of Engineering & Technology at Bartholomew County REMC in Columbus, Indiana
