Implementation on FPGA of an algorithm for the characterization of solar modules

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

The photovoltaic generator, considered to be the heart of any photovoltaic installation, exhibits sometimes malfunctions during their life cycle, which lead to degradation of the entire photovoltaic installation. Therefore, diagnostic techniques are needed to ensure fault detection, prevent dangerous risks, provide protection and prolong their healthy life. To these ends, this work contributes to the study of the types of degradation of photovoltaic generators, their types of faults and these main diagnostic techniques. This thesis work has been developed into two main parts, the first part "Photovoltaic Generators: Generality, Performances, Productivity, Faults, Diagnosis, Modelling, Characterization, & Identification". This first part is organized in three chapters. While the second part "Artificial Intelligence & Implementation" includes two chapters. Chapter 4: Application of neural networks to the diagnosis of PVG defects. In this chapter, a general description of neural networks and their application to the diagnosis of faults occurring in PVG is presented. It is a network of artificial neural networks, developed to model different types of faults that can appear when operating a PV system in real time. Simulations and experimental tests have been presented, this method shows good results for the modelling and the diagnosis of the healthy and defective photovoltaic system. As a final phase of this thesis, chapter 5 contains a synthesis methodology for the implementation on an FPGA board of one of the neural networks developed. The proposed VHDL description is based on a simple, regular and parallel architecture.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ecc37fe1-0b1d-4609-bda5-7d703ea2f737

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل دكتوراة

نوع الملف

pdf text

أسماء الملفات

758710_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Mohamed Salah Ait Cheikh","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Mourad Haddadi","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Selma Tchoketch-Kebir","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

French

المصدر والدورية

اسم المصدر

Implementation on FPGA of an algorithm for the characterization of solar modules

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Photovoltaic generator Automatic monitoring Faults detection Artificial intelligence Neural networks FPGA

إشراف وإعداد

الإشراف

Mohamed Salah Ait Cheikh, Mourad Haddadi

الإعداد

Selma Tchoketch-Kebir

الاقتباسات الببليوغرافية