| Titre : |
On maximum power point tracking quantum algorithm |
| Type de document : |
document électronique |
| Auteurs : |
Habib Feraoun, Auteur ; Mohamed Tadjine, Directeur de thèse |
| Editeur : |
[S.l.] : [s.n.] |
| Année de publication : |
2022 |
| Importance : |
1 fichier PDF (3.43 Mo) |
| Présentation : |
ill. |
| Note générale : |
Mode d'accès : accès au texte intégral par intranet.
Mémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2022.
Bibliogr. f. 115 - 117 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
MPPT,quantum computing,python,IBM qiskit,PSO,programming |
| Index. décimale : |
PA01822 |
| Résumé : |
Solar energy is without doubt necessary for a utopian future world.clean,sustainable controllable energy using semiconductor technology through solar panels ,nevertheless it needs to be optimally exploited by a certain method which brings us to computing and precisely MPPT(maxmimum power point tracking) although such an algorithm has been improved through out the years and with the newest approach of computing ’quantum information’ it
is possible to have the absolute optimal MPPT. The purpose of this work is to introduce quantum computing and develop theoretically some of it’s famous Quantum Algorithms and applying the quantum approach to the energy problem through MPPT by the quantum particle swarm optimization using classical simulation on a local compiler and a quantum probabilistic simulation through IBM Cloud quantum computer with qiskit library |
On maximum power point tracking quantum algorithm [document électronique] / Habib Feraoun, Auteur ; Mohamed Tadjine, Directeur de thèse . - [S.l.] : [s.n.], 2022 . - 1 fichier PDF (3.43 Mo) : ill. Mode d'accès : accès au texte intégral par intranet.
Mémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2022.
Bibliogr. f. 115 - 117 Langues : Anglais ( eng)
| Mots-clés : |
MPPT,quantum computing,python,IBM qiskit,PSO,programming |
| Index. décimale : |
PA01822 |
| Résumé : |
Solar energy is without doubt necessary for a utopian future world.clean,sustainable controllable energy using semiconductor technology through solar panels ,nevertheless it needs to be optimally exploited by a certain method which brings us to computing and precisely MPPT(maxmimum power point tracking) although such an algorithm has been improved through out the years and with the newest approach of computing ’quantum information’ it
is possible to have the absolute optimal MPPT. The purpose of this work is to introduce quantum computing and develop theoretically some of it’s famous Quantum Algorithms and applying the quantum approach to the energy problem through MPPT by the quantum particle swarm optimization using classical simulation on a local compiler and a quantum probabilistic simulation through IBM Cloud quantum computer with qiskit library |
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