Operational twin
Real-time situational awareness, topology, outage support, switching studies, voltage/overload detection, and operator advisory workflows.
TwinGrid Framework Architecture converts business problems, use cases, data requirements, model governance, integration needs, and cybersecurity constraints into a target digital twin blueprint.
TwinGrid frames the utility digital twin as a federated architecture, connecting specialized twins across operations, planning, assets, outages, DER, protection, training, and enterprise decision support.
A utility may need several connected twins depending on operational criticality, model maturity, use cases, and cybersecurity boundaries.
Real-time situational awareness, topology, outage support, switching studies, voltage/overload detection, and operator advisory workflows.
DER hosting capacity, EV impact, electrification scenarios, long-term capacity, resilience, non-wires alternatives, and capital project prioritization.
Asset health, failure impact, criticality, maintenance prioritization, condition-based programs, and investment decisions.
Specialized twins can support restoration, DER visibility, protection coordination, disturbance review, and operator training.
TwinGrid uses these views to make architecture understandable for executives, enterprise architects, IT, OT, cybersecurity, vendors, engineering, and implementation teams.
A one-page north-star view connecting utility business domains, source systems, the federated twin, and business outcomes.
Shows that the utility may need connected specialized twins rather than one monolithic platform.
Data source, integration, streaming, data platform, model management, simulation, analytics, applications, visualization, governance, and user workflow layers.
OT, OT DMZ, enterprise data center, private/public or sovereign cloud, DR, training/sandbox, and vendor access zones.
Security segmentation, allowed/blocked flows, identity, monitoring, vendor access, and OT risk boundaries.
SCADA, EMS, ADMS, OMS, GIS, AMI, DERMS, EAM, CMMS, WFM, historian, protection, weather, finance, and regulatory systems.
Operational data store, historian replica, lakehouse, time-series database, metadata catalog, reference data, lineage, and quality services.
GIS, EMS, ADMS, planning, asset, protection, DER models, validation, comparison, approval, repository, promotion, and rollback.
Source-system changes, staging, validation, difference detection, engineering review, simulation validation, approval, publication, and rollback.
Power flow, unbalanced distribution analysis, contingency, state estimation, short circuit, protection coordination, DER hosting, outage, asset risk, and training simulation.
Operations, planning, asset, outage, DER, protection, training simulator, and enterprise cockpit applications supported by shared services.
Phased architecture implementation: foundation, data/model readiness, first use cases, advanced analytics/simulation, and enterprise scale-up.
Cloud, on-premises, hybrid, OT restrictions, latency, availability, DR, data retention, and vendor access.
Source of truth, CIM, model versioning, synchronization, validation, promotion, rollback, data quality, and metadata.
Real-time streaming, event bus, batch exchange, APIs, file exchange, historian replication, operational safety, and advisory/control boundaries.
Security zones, identity, role-based access, encryption, logging, monitoring, vulnerability assessment, incident response, and approval gates.