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Implications of 5G Technology in the Management of Power Microgrids: A Review of the Literature

Author

Listed:
  • Armando J. Taveras Cruz

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Miguel Aybar-Mejía

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Yobany Díaz Roque

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Karla Coste Ramírez

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • José Gabriel Durán

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Dinelson Rosario Weeks

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Deyslen Mariano-Hernández

    (Engineering Area, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic)

  • Luis Hernández-Callejo

    (Department of Agricultural Engineering and Forestry, Duques de Soria University Campus, University of Valladolid, 42004 Soria, Spain)

Abstract

Microgrids have a lot to offer, including helping smart grids operate on distribution grids or bringing electricity to some cities. The management system receives and transmits different states. This is because the elements adapt to the conditions of the network in the shortest possible time. The 5G communication technology has high transmission speed, owing to which it can improve equipment connectivity and reduce latency, allowing the real-time analysis and monitoring of electrical microgrids considerably better than earlier generations. In addition, it is estimated that, in the near future, many cities will be connected using communication systems that allow the interconnection of different systems safeguarding the connectivity, speed, and response time of these elements in an electrical system, smart grid, or microgrids with the growing development of the Internet of Things. For this reason, it is essential to analyze the integration of 5G technology to improve the management of microgrids. This literature review analyzes and presents the advantages of using 5G technologies in reducing communication latency and improving connectivity to enhance microgrids’ control and management. The active implementation of 5G in the management and control of microgrids increases the transmission and reception of data and states, reduces latency, and allows for a greater density of information, collaborating positively with resilience to the various changes that microgrids can suffer in continuous working conditions. The implementation of 5G allows electrical microgrids to be more resilient in their management and control, directly and indirectly impacting the sustainable development goals.

Suggested Citation

  • Armando J. Taveras Cruz & Miguel Aybar-Mejía & Yobany Díaz Roque & Karla Coste Ramírez & José Gabriel Durán & Dinelson Rosario Weeks & Deyslen Mariano-Hernández & Luis Hernández-Callejo, 2023. "Implications of 5G Technology in the Management of Power Microgrids: A Review of the Literature," Energies, MDPI, vol. 16(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:2020-:d:1072494
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    References listed on IDEAS

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    1. Hui, Hongxun & Ding, Yi & Shi, Qingxin & Li, Fangxing & Song, Yonghua & Yan, Jinyue, 2020. "5G network-based Internet of Things for demand response in smart grid: A survey on application potential," Applied Energy, Elsevier, vol. 257(C).
    2. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Revesz, Akos & Jones, Phil & Dunham, Chris & Davies, Gareth & Marques, Catarina & Matabuena, Rodrigo & Scott, Jim & Maidment, Graeme, 2020. "Developing novel 5th generation district energy networks," Energy, Elsevier, vol. 201(C).
    4. Kermani, Mostafa & Adelmanesh, Behin & Shirdare, Erfan & Sima, Catalina Alexandra & Carnì, Domenico Luca & Martirano, Luigi, 2021. "Intelligent energy management based on SCADA system in a real Microgrid for smart building applications," Renewable Energy, Elsevier, vol. 171(C), pages 1115-1127.
    5. Shams, Mohammad H. & Shahabi, Majid & Kia, Mohsen & Heidari, Alireza & Lotfi, Mohamed & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Optimal operation of electrical and thermal resources in microgrids with energy hubs considering uncertainties," Energy, Elsevier, vol. 187(C).
    6. Wang, Xinlin & Wang, Hao & Ahn, Sung-Hoon, 2021. "Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania," Energy, Elsevier, vol. 224(C).
    7. Villanueva-Rosario, Junior Alexis & Santos-García, Félix & Aybar-Mejía, Miguel Euclides & Mendoza-Araya, Patricio & Molina-García, Angel, 2022. "Coordinated ancillary services, market participation and communication of multi-microgrids: A review," Applied Energy, Elsevier, vol. 308(C).
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    Cited by:

    1. Erdal Irmak & Ersan Kabalci & Yasin Kabalci, 2023. "Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity," Energies, MDPI, vol. 16(12), pages 1-58, June.

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