![]() ![]() Supported data formats include NIS/GIS for data about physical assets that are connected and part of the power grid, ADMS data for switch changes, SCADA for visualizing sensor data, and AMI-data to analyze historical values and create forecasts. The next step for the research initiative will be to have the simulations consider the dynamic line rating as measured by Heimdall Power’s Neuron.Ī digital twin that is agnostic and uses CIM (Common Information Model) standards helps ensure that information is in the correct format and easy to exchange across applications. ![]() The right-hand image shows the current simulated load flow in the line, and the estimated load flow for the next 48 hours using static line ratings. The blue dots represent a Heimdall Power sensor, called a Neuron, while the bright yellow line shows an overhead power line that is nearing or already over the max load capacity. Shown here: Kognitwin® Grid digital twin interface showing simulated maximum capacity parameters for an overhead line where a sensor is installed. Digital twins are making smart grids a reality! It also offers the opportunity to build out features in the digital twin like load flow visualization and analysis, load and production forecasts, and topology and grid alterations. In essence, bringing IoT data into the digital twin enables vendors to operate closer to actual load flow limits by placing relevant data in the context of ongoing operations. With the addition of Internet of Things (IoT) devices, information such as sensor readings, status updates, and performance metrics can be integrated into the digital twin for an even more detailed and accurate view of the power grid. For Distribution System Operators (DSOs), a digital representation of a physical grid system unlocks the ability to make data available and leverage it for increased energy efficiency and early risk mitigation. Data from the grid is often inaccessible, lacks context, and is isolated in siloed systems. In a game-changer for the energy industry, actors including vendors, grid operators, and digital solution providers are joining forces to pilot digital twin solutions that can help accelerate the energy transition.
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