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Hybrid Renewable Energy Sourced System: Energy Management & Self-Diagnosis

Abstract : This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed
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Submitted on : Thursday, March 29, 2018 - 1:00:33 PM
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  • HAL Id : tel-01750986, version 1



Hugues Renaudineau. Hybrid Renewable Energy Sourced System: Energy Management & Self-Diagnosis. Other. Université de Lorraine, 2013. English. ⟨NNT : 2013LORR0336⟩. ⟨tel-01750986⟩



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