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An instrumentation engineer’s review on smart grid: Critical applications and parameters

Author

Listed:
  • Bhatt, Jignesh
  • Shah, Vipul
  • Jani, Omkar

Abstract

Conventional electrical grid is transforming into smart grid—an evolutionary solution to satisfy rapidly emerging and vibrantly changing requirements of utilities and customers by intelligently leveraging telemetry concepts of instrumentation and control engineering in form of communication technology network infrastructure. The paper presents analogy of ‘smart grid’ to ‘industrial process’ and ‘communication technology infrastructure’ to ‘instrumentation telemetry’. Automated Metering Infrastructure (AMI), monitoring and automation of substations, power network monitoring, Home Automation Network (HAN), Demand Response (DR) and integration of solar PV—have been identified as ‘Critical Applications’ and Reliability, Scalability, Interoperability, Congestion, Energy Efficiency, Latency and Security – have been identified as ‘Critical Parameters’. Review of recent works has been presented for each segment.

Suggested Citation

  • Bhatt, Jignesh & Shah, Vipul & Jani, Omkar, 2014. "An instrumentation engineer’s review on smart grid: Critical applications and parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1217-1239.
  • Handle: RePEc:eee:rensus:v:40:y:2014:i:c:p:1217-1239
    DOI: 10.1016/j.rser.2014.07.187
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    Citations

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    Cited by:

    1. Yong, Jia Ying & Ramachandaramurthy, Vigna K. & Tan, Kang Miao & Mithulananthan, N., 2015. "A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 365-385.
    2. Chmielewski, Adrian & Gumiński, Robert & Mączak, Jędrzej & Radkowski, Stanisław & Szulim, Przemysław, 2016. "Aspects of balanced development of RES and distributed micro-cogeneration use in Poland: Case study of a µCHP with Stirling engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 930-952.
    3. 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.
    4. Alizadeh, S.M. & Ozansoy, C., 2016. "The role of communications and standardization in wind power applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 944-958.
    5. Lv, Tianguang & Ai, Qian, 2016. "Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources," Applied Energy, Elsevier, vol. 163(C), pages 408-422.
    6. Di Santo, Katia Gregio & Kanashiro, Eduardo & Di Santo, Silvio Giuseppe & Saidel, Marco Antonio, 2015. "A review on smart grids and experiences in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1072-1082.
    7. Wang, Ge & Zhang, Qi & Li, Hailong & McLellan, Benjamin C. & Chen, Siyuan & Li, Yan & Tian, Yulu, 2017. "Study on the promotion impact of demand response on distributed PV penetration by using non-cooperative game theoretical analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1869-1878.
    8. Reka, S. Sofana & Dragicevic, Tomislav, 2018. "Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 90-108.
    9. Sheikhi, Aras & Bahrami, Shahab & Ranjbar, Ali Mohammad, 2015. "An autonomous demand response program for electricity and natural gas networks in smart energy hubs," Energy, Elsevier, vol. 89(C), pages 490-499.
    10. Kabalci, Yasin, 2016. "A survey on smart metering and smart grid communication," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 302-318.
    11. Yang, Ting & Ren, Minglun & Zhou, Kaile, 2018. "Identifying household electricity consumption patterns: A case study of Kunshan, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 861-868.

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