LAPSE:2023.20354
Published Article
LAPSE:2023.20354
Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System
March 17, 2023
The study presents an optimal control approach for managing a hybrid Photovoltaic/Wind Turbine/Battery system in an isolated area. The system includes multiple energy sources connected to a DC bus through DC/DC converters for maximum power point tracking. The proposed hybrid MPPT approach (HMPPT) manages the energy production from different sources, while the power flow method is used to balance the load and renewable power. The study shows that integrating the HMPPT algorithm and power flow approach results in improved system performance, including increased power generation and reduced stress on the batteries. The study also proposes an accurate sizing method to further improve system efficiency. The study demonstrates the effectiveness of the proposed approach by presenting results for twelve different days with varying weather conditions. The results show that the proposed approach effectively manages the energy production and load, resulting in optimal system performance. This study provides valuable insights into the optimal control of hybrid renewable energy systems, and highlights the importance of considering different energy sources and optimal sizing for maximizing system efficiency.
Keywords
design, hybrid MPPT, Optimization, panels, solar battery storage, wind turbine
Suggested Citation
Rekioua D, Rekioua T, Elsanabary A, Mekhilef S. Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System. (2023). LAPSE:2023.20354
Author Affiliations
Rekioua D: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Rekioua T: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Elsanabary A: Department of Electrical Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia [ORCID]
Mekhilef S: Department of Electrical Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2286
Year
2023
Publication Date
2023-02-27
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en16052286, Publication Type: Journal Article
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LAPSE:2023.20354
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doi:10.3390/en16052286
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Mar 17, 2023
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Mar 17, 2023
 
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