Skip to main content

Advertisement

Log in

A Comprehensive Assessment of the Need and Availability of Smart Grid Technologies in an Electricity Distribution Grid Network

  • Review Paper
  • Published:
Journal of The Institution of Engineers (India): Series B Aims and scope Submit manuscript

A Correction to this article was published on 03 April 2021

This article has been updated

Abstract

The electrical distribution grids face major problems such as aggregate technical and commercial losses and integration of distributed energy resources. There are also several operational problems such as inaccurate meter reading, blackouts and outages, huge data compilation, etc. With the availability of automatic metering infrastructure and phasor monitoring units, many of these problems can be addressed. With the rapid progress in power electronic converter technology, the problems in integration of distributed energy resources can be efficiently resolved. However, the necessary prerequisite for getting all these benefits is remote monitoring and control. For effective demand response and price responsive demand, transparency and communication with the consumer and consumer—end systems are essential. For interoperability between the devices of various smart grid technologies, the rapid advances in communication technologies on Zig Bee, cellular communication WiMAX, power line communication are being used. In spite of the smart grid communication standards being not in place, the present standards from various bodies are being used. This has given shape to several data analytics applications with crunching of huge data from smart grid network operations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Change history

References

  1. ISO New England Inc., Overview of the smart grid: Policies, initiatives and needs. (2009)

  2. A. Ipakchi, F. Albuyeh, Grid of the future, IEEE Power and Energy Magazine, pp. 52–62, (2009)

  3. F. Li et al., Smart transmission grid: Vision and framework. IEEE Trans. Smart Grid 1(2), 168–177 (2010)

    Article  Google Scholar 

  4. R. Pillai, R. Bhatnagar, H. Thukral, AMI rollout strategy and cost–benefit analysis for India. CIRED-Open Access Proc. J. 2017(1), 2602–2605 (2017)

    Article  Google Scholar 

  5. A. Vojdani, “Smart integration,” IEEE Power and Energy Magazine, pp. 72–79, (2008)

  6. N. Hatziargyriou, H. Sano, R. Iravani, C. Marnay, Microgrids: An overview of ongoing research, development and demonstration projects. IEEE Power Energy Mag 27, 78–94 (2007)

    Article  Google Scholar 

  7. M.A. Masadeh, K.S. Amitkumar, P. Pillay, Power electronic converter-based induction motor emulator including main and leakage flux saturation. IEEE Trans. Trans. Electrif. 4(2), 483–493 (2018)

    Article  Google Scholar 

  8. X. Li, H. Wen, Y. Hu, Evaluation of different maximum power point tracking (MPPT) techniques based on practical meteorological data, in IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, pp. 696–701, (2016)

  9. Z. Mengfei, W. Jinghua, Z. Haitai, “Cooperative Fault Isolation Technology for Relay Protection and Distribution Automation,” in China International Conference on Electricity Distribution (CICED), Tianjin, pp. 1390–1394, (2018)

  10. C. Ushnik, C. Amlan, S. Sudhangshu, “Measurement of Power Flow Variations in Gaussian Plane Using Phasor Measuring Unit”, 2016 IEEE first international conference on Control Measurement and Instrumentation (CMI), CSS- IMS; pp. 269–273; ISBN: 978-1-4799-1768-6, (2016)

  11. C. Ushnik, C. Amlan, S. Sudhangshu “Fault Detection in Synchrophasor System by Using Phasor Measuring Unit”, Michael Faraday IET International Summit-2015, pp. 182–186, Vol. 1: ISBN (print): 9789383701780, 12thSeptember (2015)

  12. R. Krishnan, “Meters of tomorrow,” IEEE Power and Energy Magazine, pp. 92–94, (2008)

  13. U.S. Department of Energy, The Smart Grid: An Introduction, 2009.

  14. P.T. Eugster, P.A. Felber, R. Guerraoui, A.-M. Kermarrec, The many faces of publish/subscribe. ACM Comput. Surv. 35(2), 114–131 (2003)

    Article  Google Scholar 

  15. E. Patti, E. Pons, D. Martellacci, F. Boni, A. Acquaviva, E. Macii, “Multiplex: Flexible multi-utility, multi- service smart metering architecture for energy vectors with active prosumers,” in 4th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2015), Lisbon, Portugal, 20–22 May, 2015. pp. 288–293 (2015)

  16. B. Alireza, J. Sadegh, E. Abouzar, P. Enrico, B. Ettore, P. Edoardo, A. Andrea, "Emerging smart meters in electrical distribution systems: Opportunities and challenges," in 24th Iranian Conference on Electrical Engineering (ICEE), Shiraz, pp. 1082–1087, (2016)

  17. J. Ni, K. Zhang, K. Alharbi, X. Lin, N. Zhang, X.S. Shen, Differentially private smart metering with fault tolerance and range-based filtering. IEEE Trans. Smart Grid 8(5), 2483–2493 (2017)

    Article  Google Scholar 

  18. A. Koren, D. Šimunić, "Modelling an energy-efficient Zig Bee (IEEE 802.15.4) body area network in IoT-based smart homes," 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, 2018, pp. 0356–0360 (2018)

  19. US DoE, “Benefits of demand response in electricity markets and recommendations for achievingthem,” Report to the US Congress, Available https://eetd.idi.gov. Feb 2006

  20. Red El´ectrica de Espa˜na, “Demand of electric power in real time,” online https://www.ree.es, May 2010

  21. M. R. Amir-Hamed, V. W. S. Wong, J. Jatskevich, S. Robert, “Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid,” in IEEE PES Conference on Innovative Smart Grid Technologies, Gaithersburg, Maryland, pp.1–6, January 2010

  22. I. Christian, N. Monica, G. Lorenza, “Distributed Demand Management in Smart Grid with a Congestion Game”, 978-1-4244-6511-8/10 ©2010 IEEE

  23. S. E. Collier, "A modern intelligent grid mean new motivations, models and methods," IEEE Rural Electric Power Conference (REPC), Columbus, OH, 2017, pp. 66-70, (2017)

  24. European Technology Platform Smart Grids European Commission, “Strategic research agenda for Europe’s electricity networks of the future,” https://ec.europa.eu/research/energy/ 2007

  25. L. H. Tsoukalas, R. Gao, “From smart grids to an energy internet: Assumptions, architecrures, and requirements,” April 2008.

  26. S. Galli, A. Scaglione, Z. Wang, “Power line communications and the smart grid,” In Proceedings of the International Conference on Smart Grid Communications, Gaithersburg, MD, USA, Oct. 2010

  27. A.H. Mohsenian-Rad, V.W. Wong, J. Jatskevich, R. Schober, A. Leon-Garcia, Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1(3), 320–331 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sudhangshu Sarkar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original online version of this article was revised due to a retrospective Open Access cancellation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sarkar, S., Chakrabarti, U., Bhattacharyya, S. et al. A Comprehensive Assessment of the Need and Availability of Smart Grid Technologies in an Electricity Distribution Grid Network. J. Inst. Eng. India Ser. B 101, 753–761 (2020). https://doi.org/10.1007/s40031-020-00486-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40031-020-00486-1

Keywords

Navigation