Enhanced MPPT for Solar PV Using Modified PSO: Simulation & Assessment - Gupta, Abhishek;Kumar Sain, Naveen;Kumar, Chandan
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The Indian government aims to achieve 57% renewable energy by 2030 to meet rising demand, primarily reliant on coal and oil. With a target of 175 GW by 2022, solar energy leads with 100 GW, followed by wind and hydropower. This research develops a diode-based solar photovoltaic model in MATLAB, using an improved particle swarm optimization (PSO) method for duty cycle optimization. By refining acceleration coefficients and velocity factors, the model swiftly tracks global peak power and prevents early convergence. A grid-connected solar system is analyzed, showing minimal transients and stable output, even under partial shading conditions.…mehr

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Produktbeschreibung
The Indian government aims to achieve 57% renewable energy by 2030 to meet rising demand, primarily reliant on coal and oil. With a target of 175 GW by 2022, solar energy leads with 100 GW, followed by wind and hydropower. This research develops a diode-based solar photovoltaic model in MATLAB, using an improved particle swarm optimization (PSO) method for duty cycle optimization. By refining acceleration coefficients and velocity factors, the model swiftly tracks global peak power and prevents early convergence. A grid-connected solar system is analyzed, showing minimal transients and stable output, even under partial shading conditions.
Autorenporträt
Dr. Abhishek Gupta is an Associate Professor in the Department of Electrical Engineering at Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur, India. He earned his Ph.D. in Power Systems from RTU, Kota, India, in 2024. His research areas focus on signal processing techniques, grid integration of renewable energy, etc.