MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621052342 A) filed by Dkte Society'S Textile And Engineering Institute; Mrs. Avani Govind Shahane; Mr. Deepak D. Mahajan; Akshata Annasaheb Bhosale; Mohammad Shahid Shad Siddique; Shivraj Annappa Bhosale; Atharv Sachin Chothe; and Abhijeet Atul Kulkarni on April 24, 2026, for Decentralized Swarm-Intelligent Hybrid Microgrid With Predictive Load-Shifting And Self-Maintenance.
Inventors include Mrs. Avani Govind Shahane; Mr. Deepak D. Mahajan; Akshata Annasaheb Bhosale; Mohammad Shahid Shad Siddique; Shivraj Annappa Bhosale; Atharv Sachin Chothe; and Abhijeet Atul Kulkarni.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: ABSTRACT: Decentralized Swarm-Intelligent Hybrid Microgrid with Predictive Load-Shifting and Self-Maintenance This invention describes a decentralized swarm- intelligent hybrid microgrid configured to provide resilient, predictive, and autonomous energy management without reliance on centralized supervisory control. The system integrates renewable generation units and distributed storage modules, each governed by autonomous micro-agents operating under swarm intelligence protocols. A predictive load-shifting module anticipates consumption surges or production deficits and allocates reserves accordingly, while a topology reconfiguration engine dynamically reroutes communication and energy flows in response to failures, overloads, or partitioning. The invention further incorporates real-time sensor- based self-maintenance for detecting vibration, tilt, or surface soiling anomalies, enabling localized corrective action and swarm-wide alerts. Disaster isolation protocols ensure energy continuity during macro-disconnections, and plug-and-play deployment allows seamless integration of new nodes without manual configuration. Collectively, the invention establishes a fault-tolerant, scalable, and adaptive framework for off-grid and infrastructure-deficient contexts, delivering intelligent power balancing, predictive resilience, and autonomous self-healing in distributed energy networks.
Disclaimer: Curated by HT Syndication.
