Implementation of a neural MPPT algorithm on a low-cost 8-bit microcontroller
作者： A. Laudani , F. Riganti Fulginei , A. Salvini , G. M. Lozito , F. Mancilla-David
DOI: 10.1109/SPEEDAM.2014.6872101
关键词: Maximum power principle 、 Power (physics) 、 Artificial neural network 、 Microcontroller 、 Computer science 、 Grid 、 Maximum power point tracking 、 Web server 、 Power optimizer 、 Electronic engineering
摘要: This work proposes a maximum power point tracking algorithm based on neural networks embedded in low-cost 8-bit microcontroller. The obtained device can correctly track the even under abrupt changes solar irradiance and improves dynamic performance of converter that connects photovoltaic plants into ac grid. Indeed, traditional algorithms such as “perturb & observe” “incremental conductance” are able to most cases but they fail rapidity changing atmospheric conditions. use microcontroller allows for easy updates enhancement by simply adding code libraries. Furthermore, it be interfaced via standard communication means other control devices, integrated schemes remote-controlled through its web server. proposed approach has been validated experimental simulated results.
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