Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system
With increasing energy prices, nuclear energy concerns, climate changes, and electrical grid losses, the demand to rely on more renewable energy is growing. The majority of people currently prefer to live and work in smart environments, such as smart cities and smart institutions with an integrated...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721012014 |
| _version_ | 1798026751405719552 |
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| author | Mohamed S. Soliman Youcef Belkhier Nasim Ullah Abdelyazid Achour Yasser M. Alharbi Ahmad Aziz Al Alahmadi Habti Abeida Yahya Salameh Hassan Khraisat |
| author_facet | Mohamed S. Soliman Youcef Belkhier Nasim Ullah Abdelyazid Achour Yasser M. Alharbi Ahmad Aziz Al Alahmadi Habti Abeida Yahya Salameh Hassan Khraisat |
| author_sort | Mohamed S. Soliman |
| collection | DOAJ |
| description | With increasing energy prices, nuclear energy concerns, climate changes, and electrical grid losses, the demand to rely on more renewable energy is growing. The majority of people currently prefer to live and work in smart environments, such as smart cities and smart institutions with an integrated smart microgrid. Energy management is a complex topic because a large amount of these smart microgrid systems rely on hybrid energy sources. As a result, a smart energy management controller needs to be created. The current research provides a new energy management control technique for a smart DC-microgrid based on a combined fuzzy logic controller (FLC) and high order sliding mode (HSMC) methods. The hybrid energy provider integrated into the DC-microgrid is made up of a battery bank, wind energy, photovoltaic (PV) energy, and tidal energy source. The new proposed intelligent control is intended to regulate source-side converters (SSCs) in order to capture the maximum energy from hybrid renewable energy sources (wind, tidal and PV) while also improving power quality in the DC-microgrid. To keep the microgrid as cost-effective as feasible, renewable energy sources are prioritized. The suggested controller offers a steady output power and sustained service. From the present simulation results under Matlab/Simulink and the comparative analysis, the proposed controller produces +1.02% wind power, +10% PV power, +100% tidal power, and +8.48% load power over intelligent fractional-order proportional–integral–derivative (PID) and more when compared to the super twisting fractional-order and PID controls. In addition, the suggested controller assures smooth output power and uninterrupted service. |
| first_indexed | 2024-04-11T18:41:52Z |
| format | Article |
| id | doaj.art-3dc264a60c5b44e092f88aacbfb27daf |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T18:41:52Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-3dc264a60c5b44e092f88aacbfb27daf2022-12-22T04:08:58ZengElsevierEnergy Reports2352-48472021-11-01777287740Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage systemMohamed S. Soliman0Youcef Belkhier1Nasim Ullah2Abdelyazid Achour3Yasser M. Alharbi4Ahmad Aziz Al Alahmadi5Habti Abeida6Yahya Salameh Hassan Khraisat7Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Karlovo Namesti 13, 121 35 Praha 2, CzechiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; Corresponding author.Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, AlgeriaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; Department of Electrical and Electronics Engineering, Al-Balqa’ Applied University, Amman 19117, JordanWith increasing energy prices, nuclear energy concerns, climate changes, and electrical grid losses, the demand to rely on more renewable energy is growing. The majority of people currently prefer to live and work in smart environments, such as smart cities and smart institutions with an integrated smart microgrid. Energy management is a complex topic because a large amount of these smart microgrid systems rely on hybrid energy sources. As a result, a smart energy management controller needs to be created. The current research provides a new energy management control technique for a smart DC-microgrid based on a combined fuzzy logic controller (FLC) and high order sliding mode (HSMC) methods. The hybrid energy provider integrated into the DC-microgrid is made up of a battery bank, wind energy, photovoltaic (PV) energy, and tidal energy source. The new proposed intelligent control is intended to regulate source-side converters (SSCs) in order to capture the maximum energy from hybrid renewable energy sources (wind, tidal and PV) while also improving power quality in the DC-microgrid. To keep the microgrid as cost-effective as feasible, renewable energy sources are prioritized. The suggested controller offers a steady output power and sustained service. From the present simulation results under Matlab/Simulink and the comparative analysis, the proposed controller produces +1.02% wind power, +10% PV power, +100% tidal power, and +8.48% load power over intelligent fractional-order proportional–integral–derivative (PID) and more when compared to the super twisting fractional-order and PID controls. In addition, the suggested controller assures smooth output power and uninterrupted service.http://www.sciencedirect.com/science/article/pii/S2352484721012014Smart UniversityElectrical vehicleEnergy Management controlHybrid Renewable EnergyDC-MicrogridHigh order sliding mode |
| spellingShingle | Mohamed S. Soliman Youcef Belkhier Nasim Ullah Abdelyazid Achour Yasser M. Alharbi Ahmad Aziz Al Alahmadi Habti Abeida Yahya Salameh Hassan Khraisat Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system Energy Reports Smart University Electrical vehicle Energy Management control Hybrid Renewable Energy DC-Microgrid High order sliding mode |
| title | Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system |
| title_full | Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system |
| title_fullStr | Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system |
| title_full_unstemmed | Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system |
| title_short | Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system |
| title_sort | supervisory energy management of a hybrid battery pv tidal wind sources integrated in dc microgrid energy storage system |
| topic | Smart University Electrical vehicle Energy Management control Hybrid Renewable Energy DC-Microgrid High order sliding mode |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721012014 |
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