Operating the Grid as One Intelligent System – Redefining What's Possible

The distribution grid was built over decades to support a relatively predictable, one-directional flow of electricity. Today, utilities face a very different reality. They must juggle increasing DER integration, more frequent and extreme weather events, growing electrification demands, and soaring customer expectations for reliability, resilience, and affordability—all while coordinating across planning, operations, field crews, market participants, and customers.

Many of the systems utilities rely on today were implemented as much as 30 years ago to solve specific operational challenges. While effective for their time, they were not designed for the level of complexity, connectivity, and operational agility required today.

GridOS® for Distribution is GE Vernova's solution to address that gap. It is a unified software solution designed to help utilities move beyond disconnected applications and operate their distribution grid as one intelligent, orchestrated system.

This blog explores why that shift matters, what it looks like in practice, and how utilities such as Alabama Power are using this approach to modernize operations and prepare for the future.

Over the past six months, GE Vernova conducted Voice of Customer interviews with distribution utilities around the world. Regardless of geography, size, or regulatory environment, the themes were remarkably consistent.

1. Fragmented data and disconnected workflows

The most persistent challenge is not simply data fragmentation but operational fragmentation.

Planning, operations, filed crews, and DER teams often work from different systems, different models, and in some cases, different versions of the truth. As the grid becomes more dynamic, this lack of alignment slows decision-making and limits operational agility.

2. Inaccurate or outdated network models

A trusted operational model is at the foundation of every grid decision. When the network model does not accurately reflect real-world conditions, every decision you make downstream, from switching operations and outage restoration to DER coordination and forecasting, is compromised.

3. The distribution grid is operating beyond its original design parameters

The modern distribution grid is being forced to do far more than it was originally designed for.

Bidirectional power flows, accelerating DER adoption, electrification of transportation, flexible interconnections, and increasing weather-related disruptions are creating operational conditions that require greater visibility, coordination, and intelligence than ever before.

4. Regulatory expectations are increasing while timelines are shrinking

Utilities are being asked to deliver faster customer connections, greater transparency, improved reliability, and accelerated decarbonization. This often happens within increasingly aggressive regulatory timelines.

In the UK, for example, the upcoming ED3 regulatory framework aims to reduce new connection approval times from more than a year to as little as two days. Achieving that level of responsiveness requires planning and operations teams to work from the same trusted data in near real time, breaking down the organizational and technology silos that exist in many utilities today.

Similar pressures are emerging globally as regulators push utilities to integrate DERs more efficiently, improve resilience, accelerate electrification, and demonstrate measurable operational performance.

When faced with growing complexity, many utilities take an incremental approach, adding new applications, improving integrations, or patching gaps as they emerge.

While these investments can address immediate needs, they often add complexity over time, creating a growing web of systems, interfaces, and workflows that are increasingly difficult to maintain and scale.

David Daly is direct about why that approach eventually reaches its limits:

"It really is not something you can look at incrementally and upgrade one at a time across different systems. It really takes a strategic plan, a ten-year view, and strategy for your transformation."

The IT and OT software most utilities rely on today has evolved over decades. But evolution within fragmented architecture does not solve the fundamental problem.

The four imperative shifts that define where operational software needs to go:

Ultimately, asking operators to act as the integration layer between disconnected systems is neither scalable nor sustainable. The systems themselves must become integrated, enabling operators to focus on running the grid rather than reconciling information across applications.

GridOS for Distribution is designed to help utilities operate the grid as one intelligent, orchestrated system.

Built on a common operational foundation, it connects planning and operations workflows across the enterprise while preserving the flexibility to evolve as utility needs change.

The solution brings together the applications utilities already rely on, including Geo Network Management, ADMS, DERMS, Visual Intelligence, and Field applications, within a unified ecosystem operating from a shared operational model.

At the center is GridOS® Data Fabric. Unlike traditional approaches that centralize and replicate data, Data Fabric is federated by design. It provides governed access to data wherever it resides across operational systems, enterprise applications, and third-party partners while maintaining ownership, context, and quality controls.

As David explains, "It's not just a data lake where you're pouring data into or you're bringing data from lots of external sources and causing sync issues. It's a federated governance data product."

This distinction is important.

A trusted data foundation is not simply about making data available. It is about ensuring users understand where data originated, how it has been transformed, what quality controls have been applied, and how it should be used. That level of transparency and governance becomes increasingly important as utilities expand automation, integrate external participants, and begin deploying AI-driven capabilities.

The concept of a data product is vital here, as it enables a trusted, governed view of data that carries with it a rich context of who owns it, what it was intended for, how it is being used, where it came from, and what quality checks it has passed. That provenance matters when that data is being used to train AI models, run automated switching decisions, or inform regulators.

The outcome is a Grid Twin: a trusted operational model of the network that spans planning and operations, connects the control room and field, and establishes the foundation for intelligent automation, advanced analytics, and AI.

No two utilities are at the same point in their transformation journey.

For some, the immediate priority is establishing a trusted operational foundation—bridging planning and operations together, improving data quality, and creating a connected view of the grid. Others are focused on strengthening storm response and grid resilience, managing rapid DER growth, or improving operational efficiency through greater automation and intelligence.

GridOS for Distribution is designed to support each of these priorities through a flexible competency-based approach that allows utilities to advance at their own pace, starting with the foundational capabilities they need today and expanding into more advanced operational outcomes over time.

The Essentials form the foundation. Every journey starts here with a trusted operational foundation that brings planning and operations applications together and establishes the unified data model.

From there, utilities can prioritize the competencies that align with their most pressing business objectives:

Disruption Management

Designed for utilities managing storms, hurricanes, wildfires, and other disruptive events, this competency combines proactive risk mitigation with operational response. Capabilities include vegetation management, asset inspection, damage predictions, AI-powered outage forecasting, field damage assessment, and coordinated restoration workflows.

DER Orchestration

As distributed energy resources continue to grow in scale and complexity, utilities require new levels of visibility, coordination, and control. This competency enables utilities to safely integrate DERs, accelerate interconnections, increase hosting capacity, and unlock grid flexibility while maintaining reliable operations.

Optimization

Focused on improving performance, efficiency, and automation, this competency helps utilities reduce manual processes, improve forecasting accuracy, optimize decision-making, and build toward more intelligent, policy-driven grid operations.

Distribution Intelligence

As the volume of grid data continues to grow, utilities need more than visibility—they need intelligence that helps operators anticipate, prioritize, and act with confidence. This competency leverages AI, advanced analytics, and digital twin capabilities to transform operational data into actionable insights.

From identifying emerging risks and predicting system conditions to recommending actions and supporting scenario analysis, Intelligent Distribution helps utilities move from reactive operations to proactive, data-driven decision-making. Built on a trusted operational foundation, it enables utilities to enhance situational awareness, improve operator productivity, and unlock the next generation of intelligent grid management while keeping humans firmly in control of critical decisions.

The maturity model within each competency provides a structured path from foundational capability through optimization to full AI-enabled intelligence; and utilities can be at different maturity levels in different areas simultaneously.

"In some parts you may be at level one. In other parts of your organization, you may be at level three. We provide a path working with customers to get you there across your organization," Dave explains.

Alabama Power serves 1.5 million customers across a 45,000 square mile service territory, with 875 substations and full exposure to southeastern weather, including thunderstorms, tornadoes, hurricanes, and ice events.

Their transformation journey began in 2010 with the deployment of ADMS, and their experience illustrates how utilities can build progressively toward more intelligent, integrated operations over time.

The first step was establishing a unified operational foundation.

As Bob Duke shares, "before ADMS, everything was much more manual. There were separate applications for SCADA, ADMS and OMS. The operator was the integrator between those different applications. Now we have everything together in one application, which allows you to build on top of that with things like FISR and fault location."

That foundation has delivered measurable operational results. Alabama Power has recorded over 1,000 successful FISR operations, restoring service to 608,000 customers out of 1.5 million. They avoided 112 million customer interruption minutes and achieved a 73-minute improvement in restoration performance.

As additional field automation devices have been deployed and operational processes have matured, those benefits have continued to grow.

"FISR performance gets better and better every year as more and more automated devices are added in the field and as the ADMS software continues to improve," Bob notes.

One of the most impactful benefits has been improved fault location awareness.

"One of the biggest benefits we've had is the fault location halos — operators not having to describe where to go to look for the fault. The people looking at ADMS Viewer can see the fault location halos there, so they can look and know where to go to evaluate the location of the outage."

Today, Alabama Power is building on that foundation and advancing on to the next phase of its GridOS journey. DERMS Forecasting recently went live late last year, generating operational load and generation forecasts from near-real-time production and weather data. At the same time, legacy integrations—some more than a decade old—are being modernized through GridOS Connect, which will make it easier to get data from systems including AMI, customer information, work management, and field damage assessment into and out of ADMS.

"Data analytics use cases continue to grow," Bob says, "and that's only going to continue with AI on the horizon."

Artificial intelligence has quickly become one of the most discussed topics in the utility industry. Yet while interest in AI is nearly universal, utilities’ appetite for adoption varies significantly.

As Dave Daly explains: "I don't think there's one conversation we've had where AI wasn't mentioned. There's a different range of appetite and risk tolerance level."

Despite the excitement surrounding AI, one theme consistently emerges in conversations with utilities: trust must come before intelligence. Utilities need confidence in the data that AI models are trained on, the context used to generate recommendations, and the transparency of the resulting outputs. Without that foundation, AI becomes difficult to operationalize in mission-critical environments.

This is why the GridOS Data Fabric and grid twin are foundational components of the GridOS for Distribution vision. By providing a unified, governed data foundation with clear lineage, ownership, and quality controls, utilities can establish the trust required to deploy AI responsibly and at scale.

The vision for agentic AI in GridOS for Distribution is human-in-the-loop. "We want to help operators make decisions but not take them out of the equation. So, it's really providing the visibility, working with customers as partners to really unlock that intelligence," Dave states.

The practical manifestation of this is AI agents working alongside operators surfacing anomalies, forecasting outcomes, suggesting switching sequences, flagging developing risks, while the operator retains decision authority and the ability to override.

The transformation to intelligent, unified distribution operations is a gradual progression. According to Dave, "Transformation isn't something overnight. It's a journey. You're typically talking about a 5–10-year windows."

This means the first step needs to be taken now with a clear understanding of where the utility is today, its strategic priorities for the next phase, and foundational needs to make the journey sustainable.

GridOS for Distribution is designed to support utilities at every stage of that journey. From the essentials that establish a trusted operational foundation, through the operational competencies that address specific strategic priorities, to the AI-enabled intelligence that becomes possible once the data foundation is in place, the solution meets utilities where they are and grows with them as their needs and capabilities evolve.