Enhancing microgrid renewable energy integration at SEKEM farm
This study explores the feasibility of implementing a hybrid microgrid system powered by renewable energy sources. Including solar photovoltaics, wind energy, and fuel cells to ensure a reliable and sustainable electricity supply for the SEKEM farm in WAHAT, Egypt. The study utilizes MATLAB/Simulink...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Global Energy Interconnection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096511724001051 |
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| _version_ | 1850065366187769856 |
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| author | Mohamed M. Reda Mohamed I. Elsayed M.A. Moustafa Hassan Hatem M. Seoudy |
| author_facet | Mohamed M. Reda Mohamed I. Elsayed M.A. Moustafa Hassan Hatem M. Seoudy |
| author_sort | Mohamed M. Reda |
| collection | DOAJ |
| description | This study explores the feasibility of implementing a hybrid microgrid system powered by renewable energy sources. Including solar photovoltaics, wind energy, and fuel cells to ensure a reliable and sustainable electricity supply for the SEKEM farm in WAHAT, Egypt. The study utilizes MATLAB/Simulink software to conduct simulations based on sun irradiation and wind speed data. Various control techniques, such as the proportional-integral (PI) controller, Fuzzy Logic Controller for PI tuning (fuzzy-PI), and neuro-fuzzy controllers, were evaluated to improve the performance of the microgrid. The results demonstrate that the Fuzzy-PI control strategy outperforms the alternative control systems, enhancing the overall dependability and long-term viability of energy provision. The hybrid system was integrated with a voltage source control (VSC) and fuzzy PI controller, which effectively addressed power fluctuations and improved the stability and reliability of the energy supply. Furthermore, it provides insightful information on how to design and implement a 100% renewable energy system, with the fuzzy PI controller emerging as a viable method of control that can guarantee the system’s resilience and outperform other approaches, such as the standalone PI controller and the neuro-fuzzy controller. |
| format | Article |
| id | doaj-art-8290060a32244e4e960d0170d757d6f3 |
| institution | DOAJ |
| issn | 2096-5117 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Global Energy Interconnection |
| spelling | doaj-art-8290060a32244e4e960d0170d757d6f32025-08-20T02:49:01ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172024-12-017676177210.1016/j.gloei.2024.11.003Enhancing microgrid renewable energy integration at SEKEM farmMohamed M. Reda0Mohamed I. Elsayed1M.A. Moustafa Hassan2Hatem M. Seoudy3Department of Electrical Engineering, May University, Cairo 11769, EgyptDepartment of Electrical Engineering, El-Azhar University, 11651 Cairo, EgyptDepartment of Electrical Power, Cairo University, Cairo 12613, EgyptDepartment of Electrical Power and Machine, The Higher Institute of Engineering, Elshorouk 11765, EgyptThis study explores the feasibility of implementing a hybrid microgrid system powered by renewable energy sources. Including solar photovoltaics, wind energy, and fuel cells to ensure a reliable and sustainable electricity supply for the SEKEM farm in WAHAT, Egypt. The study utilizes MATLAB/Simulink software to conduct simulations based on sun irradiation and wind speed data. Various control techniques, such as the proportional-integral (PI) controller, Fuzzy Logic Controller for PI tuning (fuzzy-PI), and neuro-fuzzy controllers, were evaluated to improve the performance of the microgrid. The results demonstrate that the Fuzzy-PI control strategy outperforms the alternative control systems, enhancing the overall dependability and long-term viability of energy provision. The hybrid system was integrated with a voltage source control (VSC) and fuzzy PI controller, which effectively addressed power fluctuations and improved the stability and reliability of the energy supply. Furthermore, it provides insightful information on how to design and implement a 100% renewable energy system, with the fuzzy PI controller emerging as a viable method of control that can guarantee the system’s resilience and outperform other approaches, such as the standalone PI controller and the neuro-fuzzy controller.http://www.sciencedirect.com/science/article/pii/S2096511724001051SEKEM farmNeuro-fuzzyMicrogrid hybrid systemFuzzy-PI |
| spellingShingle | Mohamed M. Reda Mohamed I. Elsayed M.A. Moustafa Hassan Hatem M. Seoudy Enhancing microgrid renewable energy integration at SEKEM farm Global Energy Interconnection SEKEM farm Neuro-fuzzy Microgrid hybrid system Fuzzy-PI |
| title | Enhancing microgrid renewable energy integration at SEKEM farm |
| title_full | Enhancing microgrid renewable energy integration at SEKEM farm |
| title_fullStr | Enhancing microgrid renewable energy integration at SEKEM farm |
| title_full_unstemmed | Enhancing microgrid renewable energy integration at SEKEM farm |
| title_short | Enhancing microgrid renewable energy integration at SEKEM farm |
| title_sort | enhancing microgrid renewable energy integration at sekem farm |
| topic | SEKEM farm Neuro-fuzzy Microgrid hybrid system Fuzzy-PI |
| url | http://www.sciencedirect.com/science/article/pii/S2096511724001051 |
| work_keys_str_mv | AT mohamedmreda enhancingmicrogridrenewableenergyintegrationatsekemfarm AT mohamedielsayed enhancingmicrogridrenewableenergyintegrationatsekemfarm AT mamoustafahassan enhancingmicrogridrenewableenergyintegrationatsekemfarm AT hatemmseoudy enhancingmicrogridrenewableenergyintegrationatsekemfarm |