Schneider and ETAP Reveal Advanced Physics-Based Digital Twin

Schneider Electric and ETAP announced their new physics-based digital twin that is set to change how utilities and critical infrastructure run their networks. They introduced the solution at the DTECH event in San Diego. It brings real time simulation and engineering accuracy into one unified system, and it aims to help operators improve resilience while cutting delays.

Schneider Electric and ETAP developed this tool to close the long-standing gap between planning and operations. Many utilities still depend on separate systems that rarely communicate. The new physics-based digital twin brings both stages together in one lifecycle model, and this shift gives operators a much clearer view of live grid conditions.

The solution blends engineering-grade analysis with real operational data. As a result, teams can test grid behavior before they act and predict problems earlier. This approach helps reduce outages, and it allows utilities to work with greater confidence. The model stands out because it follows actual electrical physics, so operators can trust the accuracy of each scenario they run.

ETAP, which Schneider Electric acquired in 2021, has long supported detailed power system modeling. This launch extends its reach by combining its engineering insights with Schneider Electric’s geospatial tools. This combination offers a complete picture of a utility network, helping teams make faster and safer decisions.

ETAP CEO Tanuj Khandelwal said the update removes the divide that once separated planning from daily operations. He explained that the digital twin acts as a continuous companion to the grid. It checks protection schemes in advance and spots faults before they spread. His comments reflect growing concerns about extreme weather and rising electricity demands.

The system connects with Schneider Electric’s One Digital Grid Platform and its ArcFM Web GIS. Together, they merge location-based data with real-time conditions. With this link, utilities no longer rely on static maps. They gain predictive insights that show likely outcomes before switching. This improvement supports smarter decision-making and reduces risks linked to manual processes.

The physics-based digital twin also helps operators test contingency plans, run safety studies and evaluate protection coordination. It lets teams model switching steps ahead of time, and this helps reduce hazards and improve compliance. Because the model stays consistent from design through operations, it removes data silos and lowers the chance of human error.

This launch arrives at a time when grids face more stress than ever. Extreme weather events, rapid electrification and rising customer expectations continue to challenge utilities. With these pressures growing, accurate simulation has become essential. The new system also helps sectors that cannot afford downtime. Data centers, aerospace facilities and hospitals all rely on constant power, and they can use the twin to avoid disruptions.

Ruben Llanes, CEO of Schneider Electric’s Digital Grid division, said the partnership brings together engineering precision and geospatial intelligence. He emphasized that this unified approach reduces risk and speeds up modernization.

The system already shows strong results. More than 50,000 installations worldwide use ETAP tools. Utilities report faster renewable interconnection and fewer nuisance trips due to improved protection settings. These outcomes highlight how predictive modeling improves both reliability and efficiency.

Visitors at DTECH explored live demonstrations of the technology at Booth 1201. Schneider Electric also showcased its One Digital Grid Platform, introduced in late 2025. The platform uses AI and modular tools to support renewable growth, enhance resilience and speed up operations.

With this milestone, Schneider Electric and ETAP have strengthened their position as leaders in digital grid innovation. Their physics-based digital twin marks a new direction for utilities seeking reliable, modern and future-ready systems.