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Master Thesis

Optimisation de commandes MPPT

Abstract : If it is desired that photovoltaics has a higher proportion of energetic mix for electrical guids, it must represented a credible alternative to other sources of electricity. For this, the LAAS will use to improve and optimize the energy transfer between the PV module and its load, by adding an adaptation stage. In this memory, it consists of a step-up DC / DC converter, and its control law MPPT (Maximum Power Point Tracker). This type of control allows to extract the maximum power that can deliver the module in every moment. Efficiency and response time of the different controls change between the different controls (in this case, Perturb and Observe and fraction of VOC are used). Optimization of existing control has been developed in order to improve these two points, then simulated and implemented. The components of the photovoltaic conversion chain and control have been modeled in VHDL-AMS. The experimental system is based on a prototype integrated DC / DC converter and microcontroller, containing MPPT control laws. A comparison of five control laws was realized in simulation and experimentally to determine their performance too.
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https://dumas.ccsd.cnrs.fr/dumas-01304277
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Submitted on : Tuesday, April 19, 2016 - 2:47:25 PM
Last modification on : Saturday, February 8, 2020 - 11:54:02 AM
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  • HAL Id : dumas-01304277, version 1

Citation

Cyril Lahore. Optimisation de commandes MPPT. Automatique / Robotique. 2012. ⟨dumas-01304277⟩

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