MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641114300 A) filed by R. M. D. Engineering College on September 24, 2026, for Ai-Enabled Smart Grid Fault Prediction And Dynamic Load Management System.
Inventors include Mrs. G. Manisha; Mr. T. Venkatesan; Dr. J. Sherine Glory; Dr. A. Gnanasekar; and Dr. A. Tamizharasi.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention relates to an artificial intelligence (AI)-enabled smart grid system for predicting electrical faults and dynamically managing electrical loads in a power distribution network. The system comprises a plurality of electrical sensing units configured to acquire real-time electrical parameters including voltage, current, frequency, power factor, active power, reactive power, harmonic distortion and temperature from grid assets and distribution feeders. A communication interface transmits the acquired parameters to an AI-based processing unit. The AI-based processing unit preprocesses the electrical data, identifies temporal and operational patterns, and determines a probability of occurrence of one or more grid faults including overload, short circuit, voltage instability, phase imbalance, abnormal frequency condition and equipment overheating. A fault prediction module generates an early-warning condition based on the predicted fault probability and severity. A dynamic load management module determines an adaptive load-control strategy based on the predicted fault condition, available generation capacity, feeder loading, priority of connected loads and grid operating conditions. The system selectively disconnects, shifts, reduces or restores controllable loads through intelligent switching devices while maintaining critical loads. A feedback mechanism continuously evaluates the response of the grid following load-management actions and updates the control parameters. The invention thereby provides predictive rather than solely reactive grid protection, improves load balancing and operational reliability, reduces unnecessary power interruptions, and facilitates efficient utilization of available electrical power.
Disclaimer: Curated by HT Syndication.
