Application of Virtual Local Area Network Technology in Smart Grid

  • Rui ChenEmail author
  • Mengqiu Yan
  • Ziliang Qiu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)


The management of the smart grid operation process requires massive data. How to quickly, reliably transmit, process, and store these data becomes a necessary topic for effective management of the smart grid. This article mainly studies the application of virtual local area network technology in smart grid. Based on the analysis of the basic characteristics of smart grid management, this paper designs a three-layer switched virtual local area network (VLAN), which effectively divides the distributed smart grid data management system into subsystems that are not restricted by geographical locations and have clear logical communication units. In the experiments of this paper, because the client and server in the service-based VLAN are usually in the same VLAN, only about 10% of the communications that randomly occur between the VLANs need to be routed, which is basically stable at 0% to 4%. between. The VLAN based on the traditional policy decreases the routing amount as the maximum number of hosts in the same VLAN increases. It can be seen that the system in this paper can effectively reduce network congestion and improve the efficiency of smart grid data processing.


Smart grid Virtual Local Area Network Layer 3 switching Fault location 


  1. 1.
    Li, L., Fei, Yu., Shi, D.: Application of virtual reality technology in clinical medicine. Am. J. Transl. Res. 9(9), 3867–3880 (2017)Google Scholar
  2. 2.
    Hsiao, I.Y.T., Lan, Y.-J., Kao, C.-L.: Visualization analytics for second language vocabulary learning in virtual worlds. Educ. Technol. Soc. 20(2), 161–175 (2017)Google Scholar
  3. 3.
    Li, X.: Research on application of virtual reality technology in information retrieval. IOP Conf. Ser. Mater. Sci. Eng. 423(1), 012098 (2018)Google Scholar
  4. 4.
    Maples-Keller, J.L., Bunnell, B.E., Kim, S.-J.: The use of virtual reality technology in the treatment of anxiety and other psychiatric disorders. Harv. Rev. Psychiatry 25(3), 103–113 (2017)CrossRefGoogle Scholar
  5. 5.
    Żmigrodzka, M.: Development of virtual reality technology in the aspect of educational applications. Mark. Sci. Res. Organ. 26(4), 117–133 (2018)Google Scholar
  6. 6.
    Mengelkamp, E.: A blockchain-based smart grid: towards sustainable local energy markets. Comput. Sci. Res. Dev. 33(1–2), 207–214 (2018)CrossRefGoogle Scholar
  7. 7.
    Aljohani, T.M., Beshir, M.J.: Distribution system reliability analysis for smart grid applications. Smart Grid Renew. Energy 08(7), 240–251 (2017)CrossRefGoogle Scholar
  8. 8.
    Cao, Z., Lin, J., Wan, C.: Optimal cloud computing resource allocation for demand side management in smart grid. IEEE Trans. Smart Grid 8(4), 1943–1955 (2017)Google Scholar
  9. 9.
    Zhang, T.: A novel fault classification method based on neural network in smart grid. Int. J. Electr. Eng. 25(1), 1–7 (2018)MathSciNetGoogle Scholar
  10. 10.
    Faschang, M., Cejka, S., Stefan, M.: Provisioning, deployment, and operation of smart grid applications on substation level. Comput. Sci. Res. Dev. 32(1–2), 117–130 (2017)CrossRefGoogle Scholar
  11. 11.
    Mahmoud, M.M.E.A., Mišić, J., Akkaya, K.: Investigating public-key certificate revocation in smart grid. IEEE Internet Things J. 2(6), 490–503 (2017)CrossRefGoogle Scholar
  12. 12.
    Ogbodo, E.U., Dorrell, D., Abu-Mahfouz, A.M.: Cognitive radio based sensor network in smart grid: architectures, applications and communication technologies. IEEE Access 5(9), 19084–19098 (2017)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Shenzhen Power Supply Limited CompanyShenzhenChina

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