“Smart grid” functions as an umbrella label for a collection of specific systems that utilities have deployed in layers over the past two decades. Understanding which system does what prevents the kind of confusion where every vendor claims their product is the smart grid. This article maps the principal components and their relationships.
The Foundation: Advanced Metering Infrastructure
AMI is the most widely deployed smart grid component. It replaces manually read meters with communicating meters that report interval consumption data (typically 15-minute or hourly reads) through a communication network to a utility-operated head-end system.
The two dominant AMI vendors in North American utilities are Itron and Landis+Gyr. Both supply the full stack: the meter hardware, the radio or cellular communication infrastructure, and the head-end software that manages meter configuration and data collection. The head-end feeds a Meter Data Management System (MDMS) which validates reads and makes clean interval data available to the CIS for billing and to analytics systems for load research.
AMI by itself is not a smart grid. It is the data collection layer that makes the rest of the smart grid possible. Without interval data, load forecasting is imprecise, non-technical loss detection is limited, and customer energy management programs lack the granularity to be effective.
Distribution Automation and the ADMS
Distribution automation refers to switching devices, sensors, and communications equipment installed on feeders and substations. The Advanced Distribution Management System (ADMS) is the software that coordinates all of it.
The ADMS ingests SCADA telemetry from substations and field devices, maintains a real-time network model, and runs automated control functions including Fault Location Isolation and Restoration (FLISR), Volt/VAR optimization, and restoration switching. GE Vernova GridOS, Schneider Electric EcoStruxure ADMS, and Oracle Utilities Network Management are the three platforms with the broadest North American and European utility deployments.
The ADMS network model is built from the GIS, typically Esri ArcGIS, which holds the authoritative record of feeder topology, asset locations, and connectivity. Keeping the GIS model current is an operational discipline that determines how accurate the ADMS analysis functions are.
AI models can assist ADMS operations by recommending pre-fault maintenance actions, optimizing switching plans, or forecasting feeder load to improve VVO setpoints. The ADMS retains control authority; AI outputs inform human decisions or pre-authorized automated sequences.
DERMS: Coordinating Distributed Energy Resources
Distributed energy resources, rooftop solar, behind-the-meter batteries, EV chargers, and enrolled demand response participants, are not owned or operated by the distribution utility. Coordinating them requires a Distributed Energy Resource Management System (DERMS).
AutoGrid is among the most deployed DERMS platforms. A DERMS aggregates the available flexibility across enrolled DERs and dispatches them as needed to provide grid services: peak shaving, frequency response, or voltage support. The dispatch signals go to the DER owner’s device through an API or the utility customer portal; the ADMS sees the aggregate effect on the feeder.
The relationship between the ADMS and a DERMS is a co-ordination architecture. The ADMS controls the utility’s own switching equipment. The DERMS influences customer-sited resources through commercial agreements. Neither replaces the other.
The CIS and ERP: Where Smart Grid Data Meets the Business System
Smart grid systems generate data that has to reach the billing and customer systems to create value. AMI interval data flows to the MDMS and then to the CIS for interval billing, time-of-use rate calculations, and high-bill alerts. ADMS outage records flow to the CIS to support outage restoration notifications and to validate billing adjustments for affected customers.
On SAP IS-U, this integration runs through IDocs and BTP integration services. On Oracle CC&B, the OUAF integration framework handles the AMI and OMS data feeds. On Cayenta CIS, SmartWorks is the purpose-built MDM component, and DataVoice handles the OMS side.
For utilities operating in deregulated markets, the smart grid data layer also feeds retail and wholesale market systems. The deregulated market pillar covers how settlement and interval data management work in that context.
Where to Go Deeper
This article is the foundational layer. For AI-assisted operations on the ADMS, see FLISR and self-healing grids. For the analytics that sit on top of AMI and grid data, see AI analytics in utility operations and smart grid optimization. The Oracle Utilities and SAP IS-U pillars cover how these grid systems integrate with the utility’s CIS and ERP.
If you are evaluating ADMS platforms or DERMS options, Avansaber provides vendor-neutral advisory.