MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611090649 A) filed by Mr. Hitendra Kumar Singh; Dr. Lokendra Kumar; Dr. Minaxi; Dr. Sanyam Sharma; Mr. Nitin Kumar Verma; Mr. Rahul Kumar; Mr. Gaurav Pandey; and Mr. Ghanakash Gautam on July 25, 2026, for System And Method For Dynamic Voltage Regulation And Power Quality Optimization In Electrical Distribution Networks..
Inventors include Mr. Hitendra Kumar Singh; Dr. Lokendra Kumar; Dr. Minaxi; Dr. Sanyam Sharma; Mr. Nitin Kumar Verma; Mr. Rahul Kumar; Mr. Gaurav Pandey; and Mr. Ghanakash Gautam.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a computer implemented system and method for dynamic voltage regulation and power quality optimization in an electrical distribution network. The disclosed invention includes real-time monitoring and intelligent sensing, predictive analytics, adaptive optimization and coordinated control of voltage regulating equipment to ensure voltage stability, improve power quality, minimize distribution losses and provide reliable delivery of electricity under dynamically changing operating conditions. The proposed system includes a data acquisition module, a network monitoring module, a predictive analytics engine, a voltage optimization engine, a reactive power management module, a coordinated device control module, a power quality assessment module, a renewable energy coordination module, a continuous learning module, a cloud-based visualization module and a security management module. The system collects constantly electrical and environmental data from smart meters, intelligent electronic devices, Internet of Things (IoT) sensors, phasor measurement units, supervisory control and data acquisition (SCADA) system, renewable energy resources, distributed energy storage systems and other field devices. The predictive analytics engine predicts load demand, renewable energy generation, voltage changes, reactive power demand, equipment operating conditions, and potential power quality conditions, all using machine learning, deep learning, reinforcement learning, fuzzy logic, and hybrid optimization algorithms. Taking into account these forecasts the voltage optimization engine automatically controls on-load tap changers (OLTCs), capacitor banks, voltage regulators, static synchronous compensators (STATCOMs), distribution static compensators (D-STATCOMs), dynamic voltage restorers (DVRs), harmonic filters, and inverter-based distributed generation to optimize voltage profiles and reduce switching operations and technical losses. The invention also provides continuous monitoring and mitigation of voltage sags, voltage swells, harmonic distortion, flicker, frequency deviations, phase imbalance and reactive power imbalance. The disclosed system is designed to be scalable, reliable, and secure, offering the possibility of deployment in modern smart electrical distribution networks without compromising the security or reliability of the system.
Disclaimer: Curated by HT Syndication.
