Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System
Djamila Rekioua (),
Toufik Rekioua,
Ahmed Elsanabary and
Saad Mekhilef
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Djamila Rekioua: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria
Toufik Rekioua: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria
Ahmed Elsanabary: Department of Electrical Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia
Saad Mekhilef: Department of Electrical Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Malaysia
Energies, 2023, vol. 16, issue 5, 1-24
Abstract:
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: panels; wind turbine; solar battery storage; hybrid MPPT; optimization; design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:5:p:2286-:d:1082058
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