Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135448 - 135448
Published: March 1, 2025
Language: Английский
Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135448 - 135448
Published: March 1, 2025
Language: Английский
Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)
Published: Jan. 1, 2025
Abstract The study applies artificial intelligence algorithms to the field of photovoltaic power generation. After exploring construction a generation system, simulation system array is constructed in Matlab/Simulink platform, MPPT algorithm utilized ensure maximum output state step-up Boost circuit added, and point tracked by selecting perturbation observation method. Through experiments, characteristics PV cells tracking performance this paper were detected. Then, optimized particle swarm (PSO) construct optimal control strategy for using algorithm. PSO compared with PSO-MPPT maximize extraction track performance, order check optimization effect. When intensity sunlight increases, short-circuit current cell increases increases. external temperature decreases very little, decreases. efficiency four modes 99.78%, 99.60%, 99.59%, 99.54%, which significantly better than that algorithm, has ability.
Language: Английский
Citations
0Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135448 - 135448
Published: March 1, 2025
Language: Английский
Citations
0