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Maximisation du transfert de l'énergie d'un champ photovoltaïque tenant compte du phénomène d'ombrage partiel : connexion réseau électrique

Translated title of the thesis: Optimization of transfer of energy from a photovoltaic field taking into account the phenomenon of partial shadow : connection electric network-battery
  • Gildas Ragnagnéwendé Tapsoba

Student thesis: Master's thesisMaster in Engineering: Electrical Engineering

Abstract

The objective of this work is to propose optimization tracks, in order to minimize the harmful effects of partial shading on photovoltaic solar panels systems. There is a large number of solutions in the literature for extracting maximum power from photovoltaic panels. In this thesis, we approach the problem from a global point of view with different solutions that allow us to achieve high returns, reliability and flexibilities. Thus, modeling using the Matlab / Simulink software allowed us to expose the limits of the conventional Maximum Power Monitoring (MPPT) algorithms under different sunshine conditions using the serial-parallel and total tied cross-solar field configurations. We then developed and proposed a maximization algorithm able to find the global maximum under any partial shading model. Then two control modes associated with the converters were studied. This is the modified droop control used for the parallelism of several single-phase inverters and the Proportional-integral sliding mode for the control of three-phase inverters. These controls have, on the one hand, facilitated the increased integration of photovoltaic systems into the grid while ensuring good energy quality and, on the other hand, have guaranteed optimized production during shading phenomena. We also studied the topology of microinverters that minimizes the negative impact of partial shading for low power installations. We have analyzed the operation of two types of micro-inverters with galvanic isolation: the flyback and the double inductance boost.
Date3 May 2019
Original languageFrench
Awarding Institution
  • École de technologie supérieure
SupervisorKamal Al-Haddad (Supervisor) & Abdelhamid Hamadi (Co-supervisor)

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