MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096178 A) filed by Ms. B. Sowmiya Devi; Dr. G. Meena; Dr. N. Jeyabalan; Dr. S. Kohila; Mr. V. Ramamurthi; Dr. K. V. Geetha; Ms. P. Sakthisree; Ms. R. Janani; Ms. S. Ashika; and Ms. S. Aruna on August 09, 2026, for Probabilistic Method In Applied Mathematics For Restructuring Power Systems.

Inventors include Ms. B. Sowmiya Devi; Dr. G. Meena; Dr. N. Jeyabalan; Dr. S. Kohila; Mr. V. Ramamurthi; Dr. K. V. Geetha; Ms. P. Sakthisree; Ms. R. Janani; Ms. S. Ashika; and Ms. S. Aruna.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: The proposed invention relates to a probabilistic method in applied mathematics for restructuring power systems to enhance reliability, efficiency, adaptability, and operational stability under uncertain environments. The invention integrates probabilistic modeling, stochastic analysis, uncertainty quantification, optimization techniques, and intelligent decision mechanisms for restructuring generation, transmission, and distribution infrastructures. The system collects operational information from power networks, renewable energy resources, storage systems, smart devices, and distributed infrastructures for probabilistic evaluation. The invention models uncertainties associated with load demands, renewable generation variability, equipment failures, environmental disturbances, and market fluctuations using mathematical probability frameworks. The proposed method further performs stochastic load forecasting, probabilistic power flow analysis, risk assessment, reliability estimation, and adaptive restructuring operations. The framework supports smart grids, microgrids, distributed generation systems, and future energy infrastructures by improving resource utilization, reducing operational losses, enhancing resilience, optimizing energy management, and enabling sustainable and intelligent power system development.

Disclaimer: Curated by HT Syndication.