A Novel Dynamic and Self-Adaptive InCre Technique Based on PI Control and EO Optimization for Hybrid PV-TEG Conversion Systems-Reference-Cited by-同舟云学术

A Novel Dynamic and Self-Adaptive InCre Technique Based on PI Control and EO Optimization for Hybrid PV-TEG Conversion Systems

Published:2023-12-29 Issue: Volume: Page:1-12
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Aoughlis Celia¹,Belkaid Abdelhakim¹,Kacimi Mohand Akli¹,Colak Ilhami²,Guenounou Ouahib¹,Bakir Toufik³,Brikh Lamine¹

Affiliation:

1. Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia, Algérie

2. Engineering and Architecture Faculty of Nisantasi University, Istanbul, Turkey

3. Laboratory of image and artificial vision (ImViA), University of Burgundy French-Comte, Dijon, France

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2296964

Reference42 articles.

1. A review on the performance of photovoltaic/thermoelectric hybrid generators

2. Adaptive rapid neural optimization: A data-driven approach to MPPT for centralized TEG systems

3. Thermoelectric generator (TEG) technologies and applications

4. C. Aoughlis, A. Belkaid, I. Colak, O. Guenounou, and M. A. Kacimi, “Automatic and self adaptive P&O MPPT based PID controller and PSO algorithm,” presented at the 2021 10th Int. Conf. Renew. Energy Res. Appl. (ICRERA), 2021. DOI: 10.1109/ICRERA52334.2021.9598489.

5. A novel maximum power point tracker for thermoelectric generation system

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