MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126578 A) filed by Vardhaman College Of Engineering, Ranga Reddy, Telangana, on Dec. 14, 2025, for 'ai-based fault detection in renewable energy microgrids.'
Inventor(s) include Dr. Prashanth Kumar Koochana; Mr. Avari Nagaraju; Mr. Anudeep Meda; Ms. S Uma Maheswari; Mr. Rajashekhar Panjala; and Dr. Chilukuri Sulakshana.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "AI-Based Fault Detection in Renewable Energy Microgrids is the proposed invention. The proposed invention relates to an AI-based fault detection system designed to enhance the reliability and operational safety of renewable energy microgrids. The system utilizes machine learning and deep learning algorithms to analyze real-time voltage, current, frequency, temperature, and power-quality data collected from distributed energy resources, power electronic converters, and storage units. By learning normal microgrid behavior and identifying deviations, the system accurately detects and classifies a wide range of faults, including line faults, inverter malfunctions, battery anomalies, and power-quality disturbances. A real-time decision engine interfaces with microgrid controllers to initiate adaptive protective actions such as isolating faulty segments, reconfiguring power flows, or adjusting inverter parameters. The system continuously updates its models using new operational data, ensuring improved accuracy and adaptability over time. This invention provides a scalable, intelligent, and self-learning diagnostic framework that significantly enhances the resilience, efficiency, and autonomy of renewable energy microgrids."
Disclaimer: Curated by HT Syndication.
