This work proposes a maximum power point tracking algorithm based on neural networks embedded in a low-cost 8-bit microcontroller. The obtained device can correctly track the maximum power point even under abrupt changes in solar irradiance and improves the dynamic performance of the power converter that connects photovoltaic power plants into the ac grid. Indeed, traditional maximum power point tracking algorithms such as 'perturb & observe' and 'incremental conductance' are able to track the point of maximum power in most cases but they can fail under rapidity changing atmospheric conditions. The use of a microcontroller allows for easy updates and enhancement by simply adding code libraries. Furthermore, it can be interfaced via standard communication means to other control devices, integrated into control schemes and remote-controlled through its embedded web server. The proposed approach has been validated through experimental and simulated results. © 2014 IEEE.
Implementation of a neural MPPT algorithm on a low-cost 8-bit microcontroller / Laudani A.; Fulginei F.R.; Salvini A.; Lozito G.M.; Mancilla-David F.. - ELETTRONICO. - (2014), pp. 977-981. ((Intervento presentato al convegno 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014 tenutosi a Ischia, ita nel 2014 [10.1109/SPEEDAM.2014.6872101].
Implementation of a neural MPPT algorithm on a low-cost 8-bit microcontroller
Lozito G. M.;
2014
Abstract
This work proposes a maximum power point tracking algorithm based on neural networks embedded in a low-cost 8-bit microcontroller. The obtained device can correctly track the maximum power point even under abrupt changes in solar irradiance and improves the dynamic performance of the power converter that connects photovoltaic power plants into the ac grid. Indeed, traditional maximum power point tracking algorithms such as 'perturb & observe' and 'incremental conductance' are able to track the point of maximum power in most cases but they can fail under rapidity changing atmospheric conditions. The use of a microcontroller allows for easy updates and enhancement by simply adding code libraries. Furthermore, it can be interfaced via standard communication means to other control devices, integrated into control schemes and remote-controlled through its embedded web server. The proposed approach has been validated through experimental and simulated results. © 2014 IEEE.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.