Microgrid energy management and monitoring systems: A comprehensive review
Microgrid (MG) technologies offer users attractive characteristics such as enhanced power quality, stability, sustainability, and environmentally friendly energy through a control and Energy Management System (EMS). Microgrids are enabled by integrating such distributed energy sources into the utili...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1097858/full |
| _version_ | 1797975805032136704 |
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| author | Aiman J. Albarakati Younes Boujoudar Mohamed Azeroual Lahcen Eliysaouy Hossam Kotb Ayman Aljarbouh Hend Khalid Alkahtani Samih M. Mostafa Asifa Tassaddiq Alexander Pupkov |
| author_facet | Aiman J. Albarakati Younes Boujoudar Mohamed Azeroual Lahcen Eliysaouy Hossam Kotb Ayman Aljarbouh Hend Khalid Alkahtani Samih M. Mostafa Asifa Tassaddiq Alexander Pupkov |
| author_sort | Aiman J. Albarakati |
| collection | DOAJ |
| description | Microgrid (MG) technologies offer users attractive characteristics such as enhanced power quality, stability, sustainability, and environmentally friendly energy through a control and Energy Management System (EMS). Microgrids are enabled by integrating such distributed energy sources into the utility grid. The microgrid concept is proposed to create a self-contained system composed of distributed energy resources capable of operating in an isolated mode during grid disruptions. With the Internet of Things (IoT) daily technological advancements and updates, intelligent microgrids, the critical components of the future smart grid, are integrating an increasing number of IoT architectures and technologies for applications aimed at developing, controlling, monitoring, and protecting microgrids. Microgrids are composed of various distributed generators (DG), which may include renewable and non-renewable energy sources. As a result, a proper control strategy and monitoring system must guarantee that MG power is transferred efficiently to sensitive loads and the primary grid. This paper evaluates MG control strategies in detail and classifies them according to their level of protection, energy conversion, integration, benefits, and drawbacks. This paper also shows the role of the IoT and monitoring systems for energy management and data analysis in the microgrid. Additionally, this analysis highlights numerous elements, obstacles, and issues regarding the long-term development of MG control technologies in next-generation intelligent grid applications. This paper can be used as a reference for all new microgrid energy management and monitoring research. |
| first_indexed | 2024-04-11T04:41:16Z |
| format | Article |
| id | doaj.art-61ae25197e104d90a6c9f32396fdf8d5 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-11T04:41:16Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-61ae25197e104d90a6c9f32396fdf8d52022-12-28T04:46:45ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-12-011010.3389/fenrg.2022.10978581097858Microgrid energy management and monitoring systems: A comprehensive reviewAiman J. Albarakati0Younes Boujoudar1Mohamed Azeroual2Lahcen Eliysaouy3Hossam Kotb4Ayman Aljarbouh5Hend Khalid Alkahtani6Samih M. Mostafa7Asifa Tassaddiq8Alexander Pupkov9Department of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Al'Majmaah, Saudi ArabiaDepartment of Electrical Engineering, Faculty of Sciences and Technologies Fez, Sidi Mohamed Ben Abdullah University, Fes, MoroccoHigh School of Technology Meknes, Moulay Ismail University, Meknes, EgyptDepartment of Electrical Engineering, Faculty of Sciences and Technologies Fez, Sidi Mohamed Ben Abdullah University, Fes, MoroccoDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, EgyptDepartment of Computer Science, School of Arts and Sciences, University of Central Asia, Bishkek, KyrgyzstanDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi ArabiaFaculty of Computers and Information, South Valley University, Qena, EgyptDepartment of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Al'Majmaah, Saudi ArabiaDepartment of Informatics, Siberian Federal University, Krasnoyarsk, RussiaMicrogrid (MG) technologies offer users attractive characteristics such as enhanced power quality, stability, sustainability, and environmentally friendly energy through a control and Energy Management System (EMS). Microgrids are enabled by integrating such distributed energy sources into the utility grid. The microgrid concept is proposed to create a self-contained system composed of distributed energy resources capable of operating in an isolated mode during grid disruptions. With the Internet of Things (IoT) daily technological advancements and updates, intelligent microgrids, the critical components of the future smart grid, are integrating an increasing number of IoT architectures and technologies for applications aimed at developing, controlling, monitoring, and protecting microgrids. Microgrids are composed of various distributed generators (DG), which may include renewable and non-renewable energy sources. As a result, a proper control strategy and monitoring system must guarantee that MG power is transferred efficiently to sensitive loads and the primary grid. This paper evaluates MG control strategies in detail and classifies them according to their level of protection, energy conversion, integration, benefits, and drawbacks. This paper also shows the role of the IoT and monitoring systems for energy management and data analysis in the microgrid. Additionally, this analysis highlights numerous elements, obstacles, and issues regarding the long-term development of MG control technologies in next-generation intelligent grid applications. This paper can be used as a reference for all new microgrid energy management and monitoring research.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1097858/fullmicrogridenergy management systemcontrol techniquesmonitoring systemIoT |
| spellingShingle | Aiman J. Albarakati Younes Boujoudar Mohamed Azeroual Lahcen Eliysaouy Hossam Kotb Ayman Aljarbouh Hend Khalid Alkahtani Samih M. Mostafa Asifa Tassaddiq Alexander Pupkov Microgrid energy management and monitoring systems: A comprehensive review Frontiers in Energy Research microgrid energy management system control techniques monitoring system IoT |
| title | Microgrid energy management and monitoring systems: A comprehensive review |
| title_full | Microgrid energy management and monitoring systems: A comprehensive review |
| title_fullStr | Microgrid energy management and monitoring systems: A comprehensive review |
| title_full_unstemmed | Microgrid energy management and monitoring systems: A comprehensive review |
| title_short | Microgrid energy management and monitoring systems: A comprehensive review |
| title_sort | microgrid energy management and monitoring systems a comprehensive review |
| topic | microgrid energy management system control techniques monitoring system IoT |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1097858/full |
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