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Energy Management in the Multi-Source Systems

Author

Listed:
  • Awab Baqar

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

  • Mamadou Baïlo Camara

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

  • Brayima Dakyo

    (GREAH Laboratory, University of Le Havre Normandie, 75 Rue Bellot, 76600 Le Havre, France)

Abstract

With the goals set for sustainable development and renewable energy technologies, major advancements have been observed in the domain of multi-source systems [...]

Suggested Citation

  • Awab Baqar & Mamadou Baïlo Camara & Brayima Dakyo, 2022. "Energy Management in the Multi-Source Systems," Energies, MDPI, vol. 15(8), pages 1-4, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2713-:d:788624
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    References listed on IDEAS

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    1. Castaings, Ali & Lhomme, Walter & Trigui, Rochdi & Bouscayrol, Alain, 2016. "Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints," Applied Energy, Elsevier, vol. 163(C), pages 190-200.
    2. Ruifeng Zhang & Bizhong Xia & Baohua Li & Libo Cao & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang & Mingwang Wang, 2018. "A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature," Energies, MDPI, vol. 11(9), pages 1-17, September.
    3. Chim Pui Leung & Ka Wai Eric Cheng, 2021. "Design, Analysis and Implementation of the Tapped-Inductor Boost Current Converter on Current Based System," Energies, MDPI, vol. 14(4), pages 1-21, February.
    4. Panagiota M. Deligianni & George J. Tsekouras & Costas D. Tsirekis & Vassiliki T. Kontargyri & Fotis D. Kanellos & Panagiotis A. Kontaxis, 2020. "Techno-Economic Optimization Analysis of an Autonomous Photovoltaic Power System for a Shoreline Electrode Station of HVDC Link: Case Study of an Electrode Station on the Small Island of Stachtoroi fo," Energies, MDPI, vol. 13(21), pages 1-49, October.
    5. Ismail Oukkacha & Cheikh Tidiane Sarr & Mamadou Baïlo Camara & Brayima Dakyo & Jean Yves Parédé, 2021. "Energetic Performances Booster for Electric Vehicle Applications Using Transient Power Control and Supercapacitors-Batteries/Fuel Cell," Energies, MDPI, vol. 14(8), pages 1-22, April.
    6. Javier Solano & Diego Jimenez & Adrian Ilinca, 2020. "A Modular Simulation Testbed for Energy Management in AC/DC Microgrids," Energies, MDPI, vol. 13(16), pages 1-23, August.
    7. Janne Huotari & Antti Ritari & Jari Vepsäläinen & Kari Tammi, 2020. "Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control," Energies, MDPI, vol. 13(18), pages 1-21, September.
    8. Xu, Bin & Shi, Junzhe & Li, Sixu & Li, Huayi & Wang, Zhe, 2021. "Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle," Energy, Elsevier, vol. 229(C).
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