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The contributions of cloud technologies to smart grid

Author

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  • Fang, Baling
  • Yin, Xiang
  • Tan, Yi
  • Li, Canbing
  • Gao, Yunpeng
  • Cao, Yijia
  • Li, Jianliang

Abstract

Electric power systems (EPS) are regarded as the largest artificial systems that cover the most area. However, EPS are relatively weak among all infrastructures because they could collapse easily in the case of great disturbance, disasters, and so on. The resulting blackouts may cause serious social problems and safety damage. Here, we show that cloud technologies, including cloud machine, cloud storage, cloud computing and cloud security, play an important role in improving the disaster preparedness level and the resilience of power systems to disasters. In addition, by using cloud technologies, the level of power system optimization and the accuracy of power system simulation can be increased. By improving resilience, the level of optimization, and the accuracy of simulation, cloud technologies can promote the access of renewable and sustainable energy to smart grid (SG).

Suggested Citation

  • Fang, Baling & Yin, Xiang & Tan, Yi & Li, Canbing & Gao, Yunpeng & Cao, Yijia & Li, Jianliang, 2016. "The contributions of cloud technologies to smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1326-1331.
    • Handle: RePEc:eee:rensus:v:59:y:2016:i:c:p:1326-1331
    DOI: 10.1016/j.rser.2016.01.032
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    1. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
    2. Tu, Chunming & He, Xi & Shuai, Zhikang & Jiang, Fei, 2017. "Big data issues in smart grid – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1099-1107.
    3. Holland, Heinrich & Zand-Niapour, Sam, 2017. "Einflussfaktoren der Adoption von "Connected Cars" durch Endnutzer in Deutschland: Eine empirische Untersuchung," UASM Discussion Paper Series 5/2017, University of Applied Sciences Mainz.
    4. Di Salvo, André L.A. & Agostinho, Feni & Almeida, Cecília M.V.B. & Giannetti, Biagio F., 2017. "Can cloud computing be labeled as “green”? Insights under an environmental accounting perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 514-526.
    5. Sakeena Javaid & Nadeem Javaid & Tanzila Saba & Zahid Wadud & Amjad Rehman & Abdul Haseeb, 2019. "Intelligent Resource Allocation in Residential Buildings Using Consumer to Fog to Cloud Based Framework," Energies, MDPI, vol. 12(5), pages 1-23, March.

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