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Cognitive radio based Smart Grid Communication Network

Author

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  • Alam, Sheraz
  • Sohail, M. Farhan
  • Ghauri, Sajjad A.
  • Qureshi, I.M.
  • Aqdas, Naveed

Abstract

Smart Grid (SG) is an evolution of conventional electricity grid, answering to the problems like electricity shortages, escalation in electricity prices, power quality issues and need for using environment friendly green energy resources. Key to attain this is design and deployment of a Smart Grid Communication Network (SGCN) that is not only reliable and secure but also fulfills the communication requirements. The purpose of this research article is to provide a detailed survey on SGCN in terms of communication network requirements, architecture, technologies and applications. Using a multi-layer approach of dividing the communication layer in to Home Area Network (HAN), Neighborhood Area Network (NAN) and Wide Area Network (WAN), this paper first discusses the communication requirements, followed by an overview of SG applications. Then a detailed comparison is given for current wired and wireless communication technologies along with new standards/technologies like Cognitive Radio (CR), Smart Utility Networks (SUNs) and TV White Spaces (TVWS) that are ideal for SG environment, followed by proposed CR based network architecture for SGCN and its salient features. The paper is then concluded by contributing some open issues, challenges and future directions.

Suggested Citation

  • Alam, Sheraz & Sohail, M. Farhan & Ghauri, Sajjad A. & Qureshi, I.M. & Aqdas, Naveed, 2017. "Cognitive radio based Smart Grid Communication Network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 535-548.
    • Handle: RePEc:eee:rensus:v:72:y:2017:i:c:p:535-548
    DOI: 10.1016/j.rser.2017.01.086
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    References listed on IDEAS

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    2. Muhammad Waqas Khan & Muhammad Zeeshan, 2019. "Fuzzy inference based adaptive channel allocation for IEEE 802.22 compliant smart grid network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(3), pages 339-353, November.
    3. Eng Tseng Lau & Kok Keong Chai & Yue Chen & Jonathan Loo, 2018. "Efficient Economic and Resilience-Based Optimization for Disaster Recovery Management of Critical Infrastructures," Energies, MDPI, vol. 11(12), pages 1-20, December.
    4. Lixin Tian & Huan Chen & Zaili Zhen, 2018. "Research on the forward-looking behavior judgment of heating oil price evolution based on complex networks," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-18, September.
    5. Ahl, A. & Yarime, M. & Goto, M. & Chopra, Shauhrat S. & Kumar, Nallapaneni Manoj. & Tanaka, K. & Sagawa, D., 2020. "Exploring blockchain for the energy transition: Opportunities and challenges based on a case study in Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).

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