Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique
Abstract A hybrid microgrid powered by hydrogen is an energy infrastructure that depends on hydrogen as its primary energy carrier within a localized network. This study proposed a novel bi-level optimization approach to enhance power quality and cost efficiency of the system. In the quest to improv...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-78153-4 |
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| author | Hafiz Ghulam Murtza Qamar Xiaoqiang Guo Ehab Seif Ghith Mehdi Tlija Abubakar Siddique |
| author_facet | Hafiz Ghulam Murtza Qamar Xiaoqiang Guo Ehab Seif Ghith Mehdi Tlija Abubakar Siddique |
| author_sort | Hafiz Ghulam Murtza Qamar |
| collection | DOAJ |
| description | Abstract A hybrid microgrid powered by hydrogen is an energy infrastructure that depends on hydrogen as its primary energy carrier within a localized network. This study proposed a novel bi-level optimization approach to enhance power quality and cost efficiency of the system. In the quest to improve energy management systems (EMS) and enhance power quality, a bi-level optimization approach named Particle swarm optimization-Modified water wave optimization (PSO-MWWO) has been proposed. This method integrates adaptive population size and an adaptive wavelength coefficient to boost its overall effectiveness. It is attractive with specialists in energy management systems (EMS), control systems, and hydrogen technologies can significantly augment the efficiency of coordination endeavours. PSO-MWWO can incorporate environmental considerations, such as minimizing emissions or exploiting the use of renewable energy resources (RESs) in hydrogen production and consumption. This paper thoroughly examines its implementation, operation, and unique features, with a particular emphasis on the power quality of a hydrogen based microgrid. The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. This substantiates its practical utility in real-time applications. The efficacy of this method is empirically demonstrated through the implementation in MATLAB software. |
| format | Article |
| id | doaj-art-44f011ef339141a88b47485db7ac49a7 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-44f011ef339141a88b47485db7ac49a72025-02-09T12:36:59ZengNature PortfolioScientific Reports2045-23222025-01-0115111810.1038/s41598-024-78153-4Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO techniqueHafiz Ghulam Murtza Qamar0Xiaoqiang Guo1Ehab Seif Ghith2Mehdi Tlija3Abubakar Siddique4Key Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Department of Electrical Engineering, Yanshan UniversityKey Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Department of Electrical Engineering, Yanshan UniversityDepartment of Mechatronics, Faculty of Engineering, Ain shams UniversityDepartment of Industrial Engineering, College of Engineering, King Saud UniversityDepartment of Electrical & Biomedical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT)Abstract A hybrid microgrid powered by hydrogen is an energy infrastructure that depends on hydrogen as its primary energy carrier within a localized network. This study proposed a novel bi-level optimization approach to enhance power quality and cost efficiency of the system. In the quest to improve energy management systems (EMS) and enhance power quality, a bi-level optimization approach named Particle swarm optimization-Modified water wave optimization (PSO-MWWO) has been proposed. This method integrates adaptive population size and an adaptive wavelength coefficient to boost its overall effectiveness. It is attractive with specialists in energy management systems (EMS), control systems, and hydrogen technologies can significantly augment the efficiency of coordination endeavours. PSO-MWWO can incorporate environmental considerations, such as minimizing emissions or exploiting the use of renewable energy resources (RESs) in hydrogen production and consumption. This paper thoroughly examines its implementation, operation, and unique features, with a particular emphasis on the power quality of a hydrogen based microgrid. The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. This substantiates its practical utility in real-time applications. The efficacy of this method is empirically demonstrated through the implementation in MATLAB software.https://doi.org/10.1038/s41598-024-78153-4Hydrogen based microgridEnergy management system EMSPower qualityParticle swarm optimization-modified water wave optimization |
| spellingShingle | Hafiz Ghulam Murtza Qamar Xiaoqiang Guo Ehab Seif Ghith Mehdi Tlija Abubakar Siddique Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique Scientific Reports Hydrogen based microgrid Energy management system EMS Power quality Particle swarm optimization-modified water wave optimization |
| title | Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique |
| title_full | Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique |
| title_fullStr | Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique |
| title_full_unstemmed | Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique |
| title_short | Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique |
| title_sort | assessment of energy management and power quality improvement of hydrogen based microgrid system through novel pso mwwo technique |
| topic | Hydrogen based microgrid Energy management system EMS Power quality Particle swarm optimization-modified water wave optimization |
| url | https://doi.org/10.1038/s41598-024-78153-4 |
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