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 ...
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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.
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Add this copy of Enhanced MPPT for Solar PV Using Modified PSO: to cart. $50.33, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by LAP Lambert Academic Publishing.
Add this copy of Enhanced Mppt for Solar Pv Using Modified Pso: to cart. $59.35, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by LAP Lambert Academic Publishin.
