IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v72y2017icp535-548.html
   My bibliography  Save this article

Cognitive radio based Smart Grid Communication Network

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032117300977
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2017.01.086?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vega, A.M. & Santamaria, F. & Rivas, E., 2015. "Modeling for home electric energy management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 948-959.
    2. Ali, S.M. & Jawad, M. & Khan, B. & Mehmood, C.A. & Zeb, N. & Tanoli, A. & Farid, U. & Glower, J. & Khan, S.U., 2016. "Wide area smart grid architectural model and control: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 311-328.
    3. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
    4. Reddy, K.S. & Kumar, Madhusudan & Mallick, T.K. & Sharon, H. & Lokeswaran, S., 2014. "A review of Integration, Control, Communication and Metering (ICCM) of renewable energy based smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 180-192.
    5. Yui-Yip Lau & Adolf K. Y. Ng & Xiaowen Fu & Kevin X. Li, 2013. "Evolution and research trends of container shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(7), pages 654-674, December.
    6. Ellabban, Omar & Abu-Rub, Haitham, 2016. "Smart grid customers' acceptance and engagement: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1285-1298.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Esenogho Ebenezer & Theo. G. Swart & Thokozani Shongwe, 2019. "Leveraging on the Cognitive Radio Channel Aggregation Strategy for Next Generation Utility Networks," Energies, MDPI, vol. 12(14), pages 1-24, July.
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. van de Kaa, G. & Fens, T. & Rezaei, J. & Kaynak, D. & Hatun, Z. & Tsilimeni-Archangelidi, A., 2019. "Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 320-327.
    3. Shaukat, N. & Khan, B. & Ali, S.M. & Mehmood, C.A. & Khan, J. & Farid, U. & Majid, M. & Anwar, S.M. & Jawad, M. & Ullah, Z., 2018. "A survey on electric vehicle transportation within smart grid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1329-1349.
    4. Dileep, G., 2020. "A survey on smart grid technologies and applications," Renewable Energy, Elsevier, vol. 146(C), pages 2589-2625.
    5. Das, Laya & Munikoti, Sai & Natarajan, Balasubramaniam & Srinivasan, Babji, 2020. "Measuring smart grid resilience: Methods, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    6. Köktürk, G. & Tokuç, A., 2017. "Vision for wind energy with a smart grid in Izmir," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 332-345.
    7. Norouzi, Farshid & Hoppe, Thomas & Elizondo, Laura Ramirez & Bauer, Pavol, 2022. "A review of socio-technical barriers to Smart Microgrid development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Mahmud, Khizir & Town, Graham E. & Morsalin, Sayidul & Hossain, M.J., 2018. "Integration of electric vehicles and management in the internet of energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4179-4203.
    9. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    10. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    11. Rau, Philipp & Spinler, Stefan, 2017. "Alliance formation in a cooperative container shipping game: Performance of a real options investment approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 155-175.
    12. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    13. MHD Nour Hindia & Faizan Qamar & Mohammad B. Majed & Tharek Abd Rahman & Iraj S. Amiri, 2019. "Enabling remote-control for the power sub-stations over LTE-A networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(1), pages 37-53, January.
    14. Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
    15. Zhang, Yang & Yang, Qingyu & Li, Donghe & An, Dou, 2022. "A reinforcement and imitation learning method for pricing strategy of electricity retailer with customers’ flexibility," Applied Energy, Elsevier, vol. 323(C).
    16. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.
    17. Kolasa, Piotr & Janowski, Mirosław, 2017. "Study of possibilities to store energy virtually in a grid (VESS) with the use of smart metering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1513-1517.
    18. Choi, Kwang Hun & Kwon, Gyu Hyun, 2023. "Strategies for sensing innovation opportunities in smart grids: In the perspective of interactive relationships between science, technology, and business," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    19. Zhu, Shengda & Fu, Xiaowen & Bell, Michael G.H., 2021. "Container shipping line port choice patterns in East Asia the effects of port affiliation and spatial dependence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    20. Rehman, Zubair & Al-Bahadly, Ibrahim & Mukhopadhyay, Subhas, 2015. "Multiinput DC–DC converters in renewable energy applications – An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 521-539.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:72:y:2017:i:c:p:535-548. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.