Skip to main content

Advertisement

Log in

Agent based smart home energy management system

  • Special Issue REDSET 2016 of CSIT
  • Published:
CSI Transactions on ICT Aims and scope Submit manuscript

Abstract

Consumers participation is important for successful implementation of a smart grid. The share of renewable energy sources is ever-increasing Indian power system. As investment required for power generation is quite high, it is important to understand the consumer’s electricity usage pattern for a better planning of resources. It also facilitates energy saving and grid reliability. For a smart grid to operate efficiently and in accordance with the consumer’s preference, real-time power consumption pattern of the consumer is monitored by a Smart Grid Controller for different categories (based on paying capacity). An alert mechanism for voluntary shifting of the consumption to keep the pre-declared budget within limit is suggested.

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
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. http://mnre.gov.in/

  2. http://www.cea.nic.in/monthlyinstalledcapacity.html

  3. Tuballa ML, Abundo ML (2016) A review of the development of Smart Grid technologies. Renew Sustain Energy Rev 59:710–725

    Article  Google Scholar 

  4. Brown RE Impact of Smart Grid on distribution system design. In: Proceedings of the IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 20–24 July 2008

  5. http://www.cercind.gov.in/2016/orders/sm_3.pdf

  6. Steen D, Le Anh T, Carlson O (2016) Effects of network tariffs on residential distribution systems and price-responsive customers under hourly electricity pricing. IEEE Trans Smart Grid 7(2):617–626

    Google Scholar 

  7. Joe-Wong C, Sen S, Ha S, Chiang M (2012) Optimized day-ahead pricing for smart grids with device-specific scheduling flexibility. IEEE J Sel Areas Commun 30(6):1075–1085

    Article  Google Scholar 

  8. Ma J, Chen HH, Song L, Li Y (2016) Residential load scheduling in smart grid: a cost efficiency perspective. IEEE Trans Smart Grid. 7(2):771–784

    Google Scholar 

  9. Mohsenian-Rad A-H, Leon-Garcia A (2010) Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1(2):120–133

    Article  Google Scholar 

  10. Samadi P, Mohsenian-Rad A-H, Schober R, Wong VWS, Jatskevich J (2010) Optimal real-time pricing algorithm based on utility maximization for smart grid. In: 2010 1st IEEE international conference on smart grid communications (SmartGridComm), IEEE, 4–6 Oct 2010. doi:10.1109/SMARTGRID.2010.5622077

  11. Ma K, Yao T, Yang J, Guan Xnping (2016) Residential power scheduling for demand response in smart grid. Int J Electr Power Energy Syst 78:320–325

    Article  Google Scholar 

  12. Zhou B, Li W, Chan KW, Cao Y, Kuang Y, Liu X, Wang X (2016) Smart home energy management systems: concept, configurations, and scheduling strategies. Renew Sustain Energy Rev 61:30–40

    Article  Google Scholar 

  13. Anvari-Moghaddam A, Monsef H, Rahimi-Kian A (2015) Optimal smart home energy management considering energy saving and a comfortable lifestyle. IEEE Trans Smart Grid 6(1):324–332

    Article  Google Scholar 

  14. Pipattanasomporn M, Feroze H, Rahman S (2009) Mul-ti-agent systems in a distributed smart grid: design and implementation. In: Proceedings of IEEE PES 2009 Power Systems Conference and Exposition (PSCE’09), Seattle, Washington, USA, Mar 2009

  15. Gupta R, Jha DK, Yadav VK, Kumar S (2013) A Multi agent framework for operation of a smart grid. Energy Power Eng 5(4B):1330–1336. doi:10.4236/epe.2013.54B252

    Article  Google Scholar 

  16. Gupta R, Jha DK, Nagar S (2015) multi-agent based operation of smart grid for energy management incorporating consumer’s budget. In: Proceedings of the 2nd international conference on recent developments in science, engineering & technology (REDSET-2015), Gurgaon, Oct 2015

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ruchi Gupta.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gupta, R., Jha, D.K. & Nagar, S. Agent based smart home energy management system. CSIT 4, 103–110 (2016). https://doi.org/10.1007/s40012-016-0115-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40012-016-0115-y

Keywords

Navigation