A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration
This paper presents an innovative Energy Management Strategy (EMS) for a hybrid microgrid that combines two main renewable energy sources (RESs), photovoltaic (PV) and wind turbine (WT) generators working at the maximum power point (MPP) to extract the maximum available energy, and an energy storage...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00059.pdf |
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| author | Kabouri Omar Azeroual Mohamed El Markhi Hassane Bagayogo Alhussien |
| author_facet | Kabouri Omar Azeroual Mohamed El Markhi Hassane Bagayogo Alhussien |
| author_sort | Kabouri Omar |
| collection | DOAJ |
| description | This paper presents an innovative Energy Management Strategy (EMS) for a hybrid microgrid that combines two main renewable energy sources (RESs), photovoltaic (PV) and wind turbine (WT) generators working at the maximum power point (MPP) to extract the maximum available energy, and an energy storage system (ESS) based Lithium batteries to ensure DC-bus stability. This system includes a backup device based on Fuel Cell (FC) to assure system dependability and minimize blackouts, as well as power electronic converters for flexible system parts and a residential community as DC loads. The proposed EMS is based on the advanced Fuzzy Logic Controller (FLC), which regulates voltage and manages power flow inside the microgrid. MATLAB/Simulink simulations were conducted to assess the performance of innovative microgrid stability strategy. A comparative analysis with conventional EMS approaches demonstrates the superior effectiveness and viability of the proposed FLC technique in energy management within microgrids. The simulation-based comparison indicates that the proposed optimization method enhances system performance and DC-bus stability. |
| format | Article |
| id | doaj-art-cf56ee0b26d241bcb40437430baceb4e |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-cf56ee0b26d241bcb40437430baceb4e2025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010005910.1051/e3sconf/202560100059e3sconf_icegc2024_00059A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage IntegrationKabouri Omar0Azeroual Mohamed1El Markhi Hassane2Bagayogo Alhussien3SIGER Laboratory, Faculty of Sciences and Technologies, Sidi Mohamed Ben Abdullah UniversityDepartment of Electrical Engineering, High School of Technology (EST), Molay Ismail UniversitySIGER Laboratory, Faculty of Sciences and Technologies, Sidi Mohamed Ben Abdullah UniversitySIGER Laboratory, Faculty of Sciences and Technologies, Sidi Mohamed Ben Abdullah UniversityThis paper presents an innovative Energy Management Strategy (EMS) for a hybrid microgrid that combines two main renewable energy sources (RESs), photovoltaic (PV) and wind turbine (WT) generators working at the maximum power point (MPP) to extract the maximum available energy, and an energy storage system (ESS) based Lithium batteries to ensure DC-bus stability. This system includes a backup device based on Fuel Cell (FC) to assure system dependability and minimize blackouts, as well as power electronic converters for flexible system parts and a residential community as DC loads. The proposed EMS is based on the advanced Fuzzy Logic Controller (FLC), which regulates voltage and manages power flow inside the microgrid. MATLAB/Simulink simulations were conducted to assess the performance of innovative microgrid stability strategy. A comparative analysis with conventional EMS approaches demonstrates the superior effectiveness and viability of the proposed FLC technique in energy management within microgrids. The simulation-based comparison indicates that the proposed optimization method enhances system performance and DC-bus stability.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00059.pdf |
| spellingShingle | Kabouri Omar Azeroual Mohamed El Markhi Hassane Bagayogo Alhussien A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration E3S Web of Conferences |
| title | A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration |
| title_full | A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration |
| title_fullStr | A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration |
| title_full_unstemmed | A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration |
| title_short | A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic, Wind, Fuel Cell, and Energy Storage Integration |
| title_sort | novel fuzzy logic ems for hybrid microgrids with photovoltaic wind fuel cell and energy storage integration |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00059.pdf |
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