{"id":29789,"date":"2025-08-22T15:46:15","date_gmt":"2025-08-22T15:46:15","guid":{"rendered":"https:\/\/www.trccompanies.com\/?post_type=news-and-insights&p=29789"},"modified":"2025-08-22T15:46:18","modified_gmt":"2025-08-22T15:46:18","slug":"digital-twins-real-impact-why-distribution-systems-need-a-smarter-foundation","status":"publish","type":"news-and-insights","link":"https:\/\/www.trccompanies.com\/fr\/insights\/digital-twins-real-impact-why-distribution-systems-need-a-smarter-foundation\/","title":{"rendered":"Digital Twins, Real Impact: Why Distribution Systems Need a Smarter Foundation"},"content":{"rendered":"\n\n
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In a recent episode of <\/span>The Grid Mod Pod<\/span><\/a>, TRC\u2019s Don Kane joined AEIC to explore one of the utility industry\u2019s most transformative concepts: digital twins. As utilities face increasing distributed generation, rising customer expectations and the demand for near real-time operations, digital twins offer a powerful solution. But unlocking their full potential requires disciplined data management, intentional processes and a shift in how we plan and operate.\u00a0 <\/span>\u00a0<\/span><\/p>\n

What is a Digital Twin?\u00a0\u00a0<\/h2>\n

A digital twin is a dynamic, virtual replica of the physical grid. It goes far beyond a GIS map, capturing not only the location and connectivity of assets like conductors, transformers and other equipment, but also their physical and operational attributes: loading capacity, voltage set points, control logic and protection settings.<\/span>\u00a0<\/span><\/p>\n

A robust digital twin also includes data from beyond the meter: solar generation, battery storage, electric vehicle chargers and granular AMI data. Together, these elements can provide invaluable data that empowers operators and planners to simulate, predict and respond to changing conditions with confidence.<\/span>\u00a0<\/span><\/p>\n

Why It Matters Now\u00a0<\/h2>\n

Grid modernization is often associated with renewable integration or advanced hardware, but it\u2019s also about people, processes and decision-making. Traditionally, distribution operations focused on a \u201clights on, lights off\u201d system. Today, utilities must manage voltage levels, bi-directional power flows and rapidly fluctuating distributed resources. That level of complexity can\u2019t be handled with outdated paper maps or incomplete models.<\/span>\u00a0<\/span><\/p>\n

Transitioning to an Advanced Distribution Management System (ADMS) requires a vast amount of accurate and well-integrated data, from conductor sizes and regulator settings to step transformer connections and DER attributes. The goal isn\u2019t perfection, but data that\u2019s reliable enough to make timely, informed decisions.<\/span>\u00a0<\/span><\/p>\n

The Challenge Beneath the Surface\u00a0<\/h2>\n

Creating and maintaining accurate digital models is no small task. In the past, developing a single feeder model could take a week and it would be outdated within a year. Today, utilities may need models for hundreds or thousands of circuits, each pulling from multiple systems. Managing this scale requires strategic prioritization and cross-departmental collaboration.<\/span>\u00a0<\/span><\/p>\n <\/div>\n

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