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Converter architecture integrating detection of electric arc faults applied to continuous photovoltaic energy sources

Abstract : In this research work, the development of a multilevel inverter for PV applications is presented. The PV inverter, has two stages one DC/DC converter and one DC/AC inverter, and is capable of generating an AC multilevel output of nine levels, it's a transformerless inverter and uses a reduced number of components compared to other topologies. The conception of a novel DC/DC converter is capable of generating two isolated DC voltage levels needed to feed the DC/AC stage. This DC/DC stage is developed in two variants, buck and boost, the _rst to perform the reduction of voltage when the DC bus is too high, and second to increase the voltage when the DC bus is too low to perform interconnection with the grid through the DC/AC inverter. This is achieved thanks to the parallel functioning of the developed topology, which make use of moderated duty cycles, that reduces the stress in the passive and switching components, reducing potential losses. The validation of the PV inverter is performed in simulation and experimental scenarios. In the other hand, the response of the inverter facing an arc fault in the DC bus is studied by performing a series of tests where the fault is generated in strategic points of the DC side, this is possible thanks to the design and construction of an arc fault generator based in the specifications of the UL1699B norm. During the tests is observed that with the apparition of an arc fault, there is a lost in the half-wave symmetry of the AC multilevel output voltage waveform, generating even harmonics which aren't present during normal operation, only when an arc fault is present in the DC system. The monitoring of even harmonics set the direction for developing the detection technique. Since the magnitude of even harmonics in the inverter is very low, the total even harmonic distortion is employed as a base for the detection technique presented in this thesis. The effectiveness of this method is verified with a series of tests performed with different loads.
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Submitted on : Tuesday, June 21, 2022 - 2:11:00 PM
Last modification on : Wednesday, June 22, 2022 - 3:39:53 AM
Long-term archiving on: : Thursday, September 22, 2022 - 7:31:31 PM


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  • HAL Id : tel-03335792, version 1


Benjamin Vidales. Converter architecture integrating detection of electric arc faults applied to continuous photovoltaic energy sources. Signal and Image processing. Université de Lorraine; Instituto tecnológico de Morelia (Mexique), 2021. English. ⟨NNT : 2021LORR0040⟩. ⟨tel-03335792⟩



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