The Common Information Model (CIM) is a canonical data model standardized by the International Electrotechnical Commission (IEC) under the IEC 61968 and IEC 61970 series. It provides an abstract, vendor-agnostic ontology that represents all major objects within an electric utility enterprise, including physical assets like transformers and breakers, network connectivity, and operational measurements. By defining a common semantic language, CIM eliminates the need for point-to-point translators between proprietary systems.
Glossary
Common Information Model (CIM)

What is Common Information Model (CIM)?
The Common Information Model (CIM) is an open standard that defines a unified object-oriented data model for representing power system assets, topology, and measurements to enable seamless information exchange between disparate utility applications.
CIM is serialized using the Resource Description Framework (RDF) and leverages the Unified Modeling Language (UML) for its logical design. The standard is partitioned into a foundational IEC 61970 package for energy management systems and an IEC 61968 extension for distribution management, covering asset tracking, work management, and customer billing. This semantic framework is the backbone of modern Distribution Management Systems (DMS), enabling plug-and-play integration of advanced analytics like Volt-VAR Optimization (VVO).
Key Characteristics of the CIM Standard
The Common Information Model (CIM) provides a canonical vocabulary and object-oriented schema that enables plug-and-play data exchange between disparate utility applications, eliminating the need for proprietary point-to-point interfaces.
Unified Semantic Model
CIM defines a canonical data model that represents every physical asset and logical function in a power system as a standardized object with defined attributes and relationships.
- Classes represent real-world entities like
Breaker,ACLineSegment, andSynchronousMachine - Attributes define properties such as
ratedCurrentornormalOpenstate - Associations map how objects connect, e.g., a
Breakeris contained within aBay
This eliminates semantic ambiguity where one system's 'disconnector' is another's 'isolator.'
IEC 61970 & 61968 Standards
CIM is formally codified in two complementary IEC standards that address different utility domains.
- IEC 61970 (Energy Management): Focuses on the transmission network model, topology processing, and real-time SCADA data exchange for control centers
- IEC 61968 (Distribution Management): Extends the model for distribution assets, customer metering, work management, and asset tracking
Both standards share a common Unified Modeling Language (UML) base, ensuring consistency across the enterprise.
Canonical Message Payloads
CIM defines standardized XML and JSON message formats for specific business processes, enabling plug-and-play integration between vendor systems.
- CIM/XML for Network Model Exchange: Used to export a complete power system model from one application and import it into another without manual mapping
- IEC 61968-9 for Meter Reading: Defines payloads for exchanging interval meter data between a meter data management system and a billing engine
- IEC 61968-4 for Asset Management: Standardizes work order and asset lifecycle messages
Each message profile is a strict subset of the full CIM, constrained for a specific use case.
Object-Oriented Inheritance Hierarchy
CIM leverages class inheritance to model the power system with increasing specificity, reducing data duplication and enforcing logical consistency.
PowerSystemResourceis the abstract root class for all grid assetsEquipmentinherits from it, adding terminal and connectivity attributesSwitchinherits fromEquipment, addingnormalOpenandratedCurrentBreakerinherits fromSwitch, addingbreakingCapacityand arc-quenching properties
This hierarchy allows applications to query all Switch objects generically or target Breaker objects specifically.
Topology & Connectivity Modeling
CIM represents the electrical network as a node-breaker graph, capturing the detailed internal busbar configuration of substations.
- ConnectivityNodes are zero-impedance points where
TerminalsofConductingEquipmentmeet - TopologicalNodes are formed by merging
ConnectivityNodesthrough closed switches, representing the energized bus - This dual representation allows both detailed switching analysis and simplified power flow calculations from the same model
Accurate topology is essential for state estimation, contingency analysis, and Volt-VAR optimization.
Profile-Based Implementation
Full CIM adoption is impractical for any single interface. Instead, utilities define application profiles—constrained subsets of the model tailored to a specific business context.
- A profile restricts which classes, attributes, and associations are required or optional for a given message exchange
- Profiles are documented in machine-readable form, allowing automated validation of XML payloads against the profile schema
- This ensures that a DMS exporting a network model includes only the data a planning tool actually needs, reducing complexity and bandwidth
Profile governance is managed by the CIM Users Group (CIMug) to ensure cross-vendor consistency.
Frequently Asked Questions
Clear, technically precise answers to the most common questions about the IEC 61968/61970 Common Information Model and its role in utility data integration.
The Common Information Model (CIM) is an open standard, defined by the IEC 61968 and IEC 61970 series, that provides a unified object-oriented data model for representing all major power system assets, their topological relationships, and operational measurements. It functions as a canonical data language that enables interoperability between disparate utility applications, such as SCADA, GIS, and planning tools, by defining a shared ontology. Rather than forcing every application to use the same internal database, CIM specifies a common semantic layer for data exchange, ensuring that a Breaker object in a transmission management system means exactly the same thing as a Breaker object in a distribution management system.
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Related Terms
The Common Information Model (CIM) serves as the semantic backbone for utility integration. These related standards and concepts define the operational context in which CIM-based data exchanges occur.
IEC 61850
The international standard for substation automation and protection. While CIM (IEC 61968/70) models the grid for enterprise applications, IEC 61850 defines high-speed, peer-to-peer communication protocols like GOOSE and Sampled Values for real-time control within the substation yard. Harmonization between CIM and IEC 61850 object models is critical for seamless OT/IT integration.
Distribution Management System (DMS)
A software platform that monitors and optimizes the medium-voltage grid. A CIM-compliant DMS consumes a CIM Network Model to build its connectivity topology, enabling advanced applications like Fault Detection Isolation and Recovery (FDIR) and Volt-VAR Optimization (VVO) without custom data translation for each feeder.
MultiSpeak
A legacy interoperability standard developed by NRECA for rural electric cooperatives. MultiSpeak defines predefined message types for common utility workflows like outage management and meter reading. CIM harmonization efforts focus on mapping MultiSpeak's flat data structures to CIM's object-oriented UML model to bridge the gap between cooperative and investor-owned utility systems.
Advanced Metering Infrastructure (AMI)
The integrated system of smart meters and communication networks. CIM extends to the meter domain through the IEC 61968-9 profile, standardizing representations for:
- MeterReadings and interval data
- ServiceLocation and customer-to-transformer mapping
- LoadManagement events for demand response
Distributed Energy Resource Management (DERMS)
A control platform aggregating rooftop solar, batteries, and EVs. CIM defines the IEC 61968-5 profile for DER information exchange, modeling Inverter capabilities, StorageUnit state of charge, and DERGroup aggregations. This semantic standardization is essential for utility-to-aggregator coordination protocols like IEEE 2030.5.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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