Skip to main content

Mobility Incorporated Vehicle-to-Grid (V2G) Optimization for Uniform Utilization in Smart Grid Based Power Distribution Network

  • Conference paper
  • First Online:
Smart Grid Inspired Future Technologies

Abstract

V2G technology in smart grid architecture enables the bidirectional flow of electric energy where a Plug-in Electric Vehicle (PEV) can also discharge energy to the grid from its battery. Thus when a good number of PEVs are available, for instance, in a big parking lot enabled with Electric Vehicle Supply Equipment (EVSE), they form a large distributed energy storage system. A controller which can communicate with such EVSE enabled parking lots can optimally control charging/discharging schedules of each PEV to minimize the peak load demand of the distribution grid. While minimizing the peak demand, our optimization strategy also considers improved distribution of PEV loads throughout the distribution network to minimize the impact in any particular feeder or transformer utilizing mobility information by Vehicular Ad hoc Network (VANET) communications. This novel algorithm of uniform utilization can substantially reduce the need of expensive infrastructure upgrade of power distribution network.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Duan, Z., Gutierrez, B., Wang, L.: Forecasting plug-in electric vehicle sales and the diurnal recharging load curve. IEEE Trans. Smart Grid 5(1), 527–535 (2004)

    Article  Google Scholar 

  2. Sortomme, E., Hindi, M.M.: James MacPherson, S.D., Venkata, S.S.: Coordinated charging of plug-in hybrid electric vehicles to minimize distribution system losses. IEEE Trans. Smart Grid 2(1), 198–205 (2011)

    Article  Google Scholar 

  3. ISO/RTO Council (IRC): Assessment of plug-in electric vehicle integration with ISO/RTO Systems, p. 31, March 2010. http://www.rmi.org/Content/Files/RTO%20Systems.pdf

  4. NIST framework and roadmap for smart grid interoperability standards, release 3.0, September 2014. http://www.nist.gov/smartgrid/upload/NIST-SP-1108r3.pdf

  5. Sortomme, E., El-Sharkawi, M.A.: Optimal charging strategies for unidirectional vehicle-to-grid. IEEE Trans. Smart Grid 2(1), 131–138 (2011)

    Article  Google Scholar 

  6. Lin, J., Leung, K.-C., Li, V.O.K.: Optimal scheduling with vehicle-to-grid regulation service. IEEE Internet Things J. 1(6), 556–569 (2014)

    Article  Google Scholar 

  7. Wang, M., Liang, H., Zhang, R., Deng, R., Shen, X.: Mobility-aware coordinated charging for electric vehicles in vanet-enhanced smart grid. IEEE J. Sel. Areas Commun. 32(7), 1344–1360 (2014)

    Article  Google Scholar 

  8. New York Independent System Operator (ISO): Power Trends 2014, Evolution of Grid. http://www.nyiso.com/public/webdocs/media_room/publications_presentations/Power_Trends/Power_Trends/ptrends_2014_final_jun2014_final.pdf

  9. Con Edison Report. http://www.coned.com/messages/LICReport/Overview.pdf

  10. He, Y., Venkatesh, B., Guan, L.: Optimal scheduling for charging and discharging of electric vehicles. IEEE Trans. Smart Grid 3(3), 1095–1105 (2012)

    Article  Google Scholar 

  11. Khodayar, M.E., Wu, L., Shahidehpour, M.: Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC. IEEE Trans. Smart Grid 3(3), 1271–1279 (2012)

    Article  Google Scholar 

  12. Sortomme, E., El-Sharkawi, M.A.: Optimal scheduling of vehicle-to-grid energy and ancillary services. IEEE Trans. Smart grid 3(1), 351–359 (2012)

    Article  Google Scholar 

  13. Su, W., Chow, M.-Y.: Investigating a large-scale PHEV/PEV parking deck in a smart grid environment. In: North American Power Symposium (NAPS), August 2011, pp. 1–6, 4–6 (2011)

    Google Scholar 

  14. Su, W., Chow, M.-Y.: Performance evaluation of a PHEV parking station using particle swarm optimization. In: Proceedings of 2011 IEEE Power and Energy Society General Meeting, Detroit, Michigan, USA, 24–29 July 2011

    Google Scholar 

  15. Su, W., Chow, M.-Y.: Evaluation on large-scale PHEV parking deck using monte carlo simulation. In: Proceedings of the Fourth International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT2011), Shandong, China, 6–9 July 2011

    Google Scholar 

  16. Mukherjee, J.C., Gupta, A.: A mobility aware scheduler for low cost charging of electric vehicles in smart grid. In: 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS), 6–10 January 2014, pp. 1–8 (2014)

    Google Scholar 

  17. Wang, M., Liang, H., Zhang, R., Deng, R., Shen, X.: Mobility-aware coordinated charging for electric vehicles in VANET-enhanced smart grid. IEEE J. Sel. Areas Commun. 32(7), 1344–1360 (2014)

    Article  Google Scholar 

  18. Commuting statistics for Los Angeles County. http://factfinder2.census.gov/bkmk/table/1.0/en/ACS/11_1YR/S0801/0500000US06037

  19. Li, D., Jayaweera, S.K.: Distributed smart-home decision-making in a hierarchical interactive smart grid architecture. IEEE Trans. Parallel Distrib. Syst. 26(1), 75–84 (2015)

    Article  Google Scholar 

  20. da Cunha, F.D., Boukerche, A., Villas, L., Viana, A.C., Loureiro, A.A.F.: Data communication in VANETs: a survey, challenges and applications. RR-8498, INRIA Saclay, INRIA (2014)

    Google Scholar 

  21. Rui, Y.: Research on the mathematical method and its application in electric load forecast. Ph.D. dissertation, Mechanical and Electrical Engineering, Central South University, Hunan, China (2006)

    Google Scholar 

  22. Cui, K., Li, J.R., Chen, W., Zhang, H.Y.: Research on load forecasting methods of urban power grid. Elect. Power Technol. Econom. 21, 33–38 (2009)

    Google Scholar 

  23. Yao, G., Chen, Z.S., Li, X.Z.: BP network based on particle swarm optimization of short-term electric load forecasting. J. Guangdong Univ. Petrochem. Technol. 21, 47–50 (2011)

    Google Scholar 

  24. Grant, M., Boyd, S.: CVX MATLAB| software for disciplined convex programming, version 1.1, September 2007. http://www.stanford.edu/~boyd/cvx/

  25. NYISO (New York Independent System Operator): Hourly actual load data. http://www.energyonline.com/Data/GenericData.aspx?DataId=13&NYISO___Hourly_Actual_Load

  26. Dedicated Short Range Communications (DSRC) message set dictionary, SAE Std. J2735, November 2009

    Google Scholar 

  27. Kamal, H., Picone, M., Amoretti, M.: A survey and taxonomy of urban traffic management: towards vehicular networks (2014). http://arxiv.org/abs/1409.4388

  28. Okuda, R., Kajiwara, Y., Terashima, K.: A survey of technical trend of ADAS and autonomous driving. In: Proceedings of Technical Program - International Symposium on VLSI Technology, Systems and Application (VLSI-TSA), 28–30 April 2014, pp. 1–4 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muhammad A. Hussain .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Hussain, M.A., Lee, M.J. (2017). Mobility Incorporated Vehicle-to-Grid (V2G) Optimization for Uniform Utilization in Smart Grid Based Power Distribution Network. In: Hu, J., Leung, V., Yang, K., Zhang, Y., Gao, J., Yang, S. (eds) Smart Grid Inspired Future Technologies. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 175. Springer, Cham. https://doi.org/10.1007/978-3-319-47729-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47729-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47728-2

  • Online ISBN: 978-3-319-47729-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics