Everything in the grid is connected, however often a utility’s data will say otherwise. An effective and efficient distribution system must be modeled and geo-rectified at spatial levels ranging from the component/grid-edge devices to the substation/distribution service territory that affects the bulk system. These components’ detailed thermal, physical, and electrical properties should be modeled to approximate the characteristics of real-world systems as closely as possible.
Almost 100 percent of the work a utility does, relies on a model-centric view of the entire electrical grid – often referred to as a network digital twin. The foundational digital network view ensures accurate electrical connectivity, provides a consistent and shared network model representing the as-built and as-operated statuses and supports a solid understanding of relationships and dependencies between assets.
ENER-i.AI helps orchestrate the interplay between planning and operations amid the growing complexity of digital transformation for generation, transmission, distribution, and behind-the-meter opportunities through situational awareness and informed insight.
The ENER-i .AI Electrical Connectivity Model shall have the latest connectivity information about all the grid stages, including forecasting, planning, designing, as-built, and as-operated views for both transmission and distribution. Also, it shares and receives information from other existing planning, engineering, and operational systems seamlessly by consuming and exposing services.
Maintaining and managing the electrical connectivity model through the lifecycle of the grid is critical. Utilities generally have a range of enterprise systems in the area of Asset Management, Work Management, Engineering, Mapping and GIS, Mobile Mapping, Planning, Operations, Engineering, etc. This challenge the ENER-i™ Energy Intelligence Platform overcomes by providing a single version of the truth about grid connectivity by consolidating the information from various source systems. Then the ENER-i™ Energy Intelligence Platform visually presents the dynamic, real-world scenario of the grid, including the status of various equipment, configurations, and settings. Easily maintain comprehensive knowledge of device characteristics, health, and configuration.
