MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069486 A) filed by Hemanthasai Madugula; Aishvaria Gorityala; V U P Lavanya; Dr. Aniket Dinesh Gundecha; Dr. Shailendra Kumar Bohidar; Mr. R. Elakkiyadasan; and Premkumar R on June 03, 2026, for A Digital Twin-Based Power System Management Platform For Predictive Grid Stability Control And Autonomous Energy Flow Optimization.
Inventors include Hemanthasai Madugula; Aishvaria Gorityala; V U P Lavanya; Dr. Aniket Dinesh Gundecha; Dr. Shailendra Kumar Bohidar; Mr. R. Elakkiyadasan; and Premkumar R.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses a digital twin-based power system management platform for predictive grid stability control and autonomous energy flow optimization. The platform receives real-time data from sensors, smart meters, protection relays, transformer monitoring units, distributed energy resource controllers, inverter controllers, battery systems, and grid communication gateways. An event-weighted synchronization layer prioritizes critical grid events, while a topology-adaptive digital twin engine maintains a continuously updated virtual representation of the physical power network. A predictive stability assessment module forecasts voltage deviation, feeder loading, transformer stress, renewable fluctuation, frequency variation, and fault probability. A safe command validation layer simulates proposed switching, dispatch, reconfiguration, storage, and inverter control actions inside the digital twin before such commands are executed on physical grid devices. The platform further integrates asset health evaluation and cyber-physical feedback correction to improve reliability, reduce overload, support renewable integration, minimize outage impact, and enable safer operation of modern power systems. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
