MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202631051584 A) filed by Jis College Of Engineering, Kalyani, West Bengal, on April 22, for 'auto-parameterized microgrid controller using reinforcement learning and particle swarm optimization with cloud scenario simulation'.'
Inventor(s) include Partha Das; Biswamoy Pal; Milan Sasmal; Agnik Kundu; Sayan Ghoai; and Animesh Halder.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This invention relates to the domain of advanced microgrid control and energy management systems, specifically to an auto-parameterized control framework that combines Reinforcement Learning (RL) and Particle Swarm Optimization (PSO) for optimizing the operation of distributed energy resources (DERs), battery energy storage systems (BESS), photovoltaic (PV) units, and controllable loads. The invention further pertains to cloud-assisted scenario simulation and uncertainty modeling used to automatically generate, update, and validate controller parameters for real-time decision-making in both grid-connected and islanded microgrids. It addresses challenges in dynamic renewable integration, fluctuating demand, multi-objective optimization, and resilience against operational disturbances by enabling a hybrid RL-PSO controller that adapts autonomously without manual tuning. The invention falls within the broader field of intelligent power distribution, smart grids, and adaptive control architectures designed to enhance microgrid stability, reliability, and efficiency."
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