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Energy management system for a hybrid PV-Wind-Tidal-Battery-based islanded DC microgrid: Modeling and experimental validation

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  • Zia, Muhammad Fahad
  • Nasir, Mashood
  • Elbouchikhi, Elhoussin
  • Benbouzid, Mohamed
  • Vasquez, Juan C.
  • Guerrero, Josep M.

Abstract

DC microgrids are becoming integral part of a modern power system due to the growing penetration of DC distributed energy resources and loads, with additional advantages in terms of power quality improvement. They can be used for remote area electrification including villages, mountains, and islands. In this paper, an islanded DC microgrid is considered as a case study for islands with tidal energy potential, which consists of renewable energy resources including solar, wind and tidal, along with Li-ion battery storage. To ensure the efficient operation, an optimal energy management system is proposed for resource scheduling and utilization. In this regard, this paper proposes a two-stage supervisory energy management system for optimal operation of PV/Wind/Tidal microgrid with one-time communication to avoid excessive use of communication bandwidth in real-time. The primary stage schedules the optimal energy share from each energy source thereby enhancing the efficiency of the operation. The secondary stage updates the decision strategies by analyzing aggregated scheduled generation and demand profiles to ensure an effective utilization. The proposed energy management model has been experimentally validated to prove its effectiveness in achieving optimized operation for an islanded DC microgrid. Word Count: 4380

Suggested Citation

  • Zia, Muhammad Fahad & Nasir, Mashood & Elbouchikhi, Elhoussin & Benbouzid, Mohamed & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Energy management system for a hybrid PV-Wind-Tidal-Battery-based islanded DC microgrid: Modeling and experimental validation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    • Handle: RePEc:eee:rensus:v:159:y:2022:i:c:s1364032122000235
    DOI: 10.1016/j.rser.2022.112093
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    References listed on IDEAS

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    1. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2019. "Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations," Applied Energy, Elsevier, vol. 237(C), pages 695-707.
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    Cited by:

    1. Wenshuai Bai & Dian Wang & Zhongquan Miao & Xiaorong Sun & Jiabin Yu & Jiping Xu & Yuqing Pan, 2023. "The Design and Application of Microgrid Supervisory System for Commercial Buildings Considering Dynamic Converter Efficiency," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    2. Xu, Yifan & Ji, Mengmeng & Klemeš, Jiří Jaromír & Tao, Hengcong & Zhu, Baikang & Varbanov, Petar Sabev & Yuan, Meng & Wang, Bohong, 2023. "Optimal renewable energy export strategies of islands: Hydrogen or electricity?," Energy, Elsevier, vol. 269(C).
    3. Elkholy, M.H. & Elymany, Mahmoud & Metwally, Hamid & Farahat, M.A. & Senjyu, Tomonobu & Elsayed Lotfy, Mohammed, 2022. "Design and implementation of a Real-time energy management system for an isolated Microgrid: Experimental validation," Applied Energy, Elsevier, vol. 327(C).
    4. Yang, Zhixue & Ren, Zhouyang & Li, Hui & Pan, Zhen & Xia, Weiyi, 2024. "A review of tidal current power generation farm planning: Methodologies, characteristics and challenges," Renewable Energy, Elsevier, vol. 220(C).

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