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.
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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.
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786208434403
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Bestandsnummer des Verkäufers 9786208434403
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Taschenbuch. Zustand: Neu. Enhanced MPPT for Solar PV Using Modified PSO: Simulation & Assessment | Abhishek Gupta (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208434403 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 133363238
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