LAPSE:2023.19371
Published Article

LAPSE:2023.19371
Energy Management System for Hybrid PV/Wind/Battery/Fuel Cell in Microgrid-Based Hydrogen and Economical Hybrid Battery/Super Capacitor Energy Storage
March 9, 2023
Abstract
The present work addresses the modelling, control, and simulation of a microgrid integrated wind power system with Doubly Fed Induction Generator (DFIG) using a hybrid energy storage system. In order to improve the quality of the waveforms (voltages and currents) supplied to the grid, instead of a two level-inverter, the rotor of the DFIG is supplied using a three-level inverter. A new adaptive algorithm based on combined Direct Reactive Power Control (DRPC) and fuzzy logic controls techniques is applied to the proposed topology. In this work, two topologies are proposed. In the first one, the active power injected into the grid is smoothened by using an economical hybrid battery and supercapacitor energy storage system. However, in the second one, the excess wind energy is used to produce and store the hydrogen, and then a solid oxide fuel cell system (SOFC) is utilized to regenerate electricity by using the stored hydrogen when there is not enough wind energy. To avoid overcharging, deep discharging of batteries, to mitigate fluctuations due to wind speed variations, and to fulfil the requirement of the load profile, a power management algorithm is implemented. This algorithm ensures smooth output power in the first topology and service continuity in the second. The modelling and simulation results are presented and analysed using Matlab/Simulink.
The present work addresses the modelling, control, and simulation of a microgrid integrated wind power system with Doubly Fed Induction Generator (DFIG) using a hybrid energy storage system. In order to improve the quality of the waveforms (voltages and currents) supplied to the grid, instead of a two level-inverter, the rotor of the DFIG is supplied using a three-level inverter. A new adaptive algorithm based on combined Direct Reactive Power Control (DRPC) and fuzzy logic controls techniques is applied to the proposed topology. In this work, two topologies are proposed. In the first one, the active power injected into the grid is smoothened by using an economical hybrid battery and supercapacitor energy storage system. However, in the second one, the excess wind energy is used to produce and store the hydrogen, and then a solid oxide fuel cell system (SOFC) is utilized to regenerate electricity by using the stored hydrogen when there is not enough wind energy. To avoid overcharging, deep discharging of batteries, to mitigate fluctuations due to wind speed variations, and to fulfil the requirement of the load profile, a power management algorithm is implemented. This algorithm ensures smooth output power in the first topology and service continuity in the second. The modelling and simulation results are presented and analysed using Matlab/Simulink.
Record ID
Keywords
DFIG, direct reactive power control, energy management system, hybrid energy storage system, smart microgrid, supercapacitor, three-level inverter
Subject
Suggested Citation
Sahri Y, Belkhier Y, Tamalouzt S, Ullah N, Shaw RN, Chowdhury MS, Techato K. Energy Management System for Hybrid PV/Wind/Battery/Fuel Cell in Microgrid-Based Hydrogen and Economical Hybrid Battery/Super Capacitor Energy Storage. (2023). LAPSE:2023.19371
Author Affiliations
Sahri Y: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Belkhier Y: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Tamalouzt S: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Ullah N: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Shaw RN: Department of Electronics & Communication Engineering, Galgotias University, Greater Noida 201306, India [ORCID]
Chowdhury MS: Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand
Techato K: Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand; Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Hat Yai [ORCID]
Belkhier Y: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Tamalouzt S: Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria [ORCID]
Ullah N: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Shaw RN: Department of Electronics & Communication Engineering, Galgotias University, Greater Noida 201306, India [ORCID]
Chowdhury MS: Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand
Techato K: Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand; Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Hat Yai [ORCID]
Journal Name
Energies
Volume
14
Issue
18
First Page
5722
Year
2021
Publication Date
2021-09-11
ISSN
1996-1073
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Original Submission
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PII: en14185722, Publication Type: Journal Article
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LAPSE:2023.19371
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https://doi.org/10.3390/en14185722
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Mar 9, 2023
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