Skip to main content

Distributed Online Algorithm for Optimal Energy Distribution in Connected Microgrids

  • Chapter
  • First Online:
Online Algorithms for Optimal Energy Distribution in Microgrids

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

  • 719 Accesses

Abstract

This chapter investigates a distributed online algorithm for power distribution in a connected MG, based on the centralized algorithm presented in Chap. 2. In this chapter, we take into account more practical factors, such as the user privacy and the distributed control manner. Based on the model introduced in National Institute of Standard and Technology, we first present a formulation that captures the key design factors such as user’s utility, grid load smoothing, and energy provisioning cost. The problem is shown to be convex and can be solved with a centralized online algorithm proposed in Chap. 2. We then develop a distributed online algorithm that decomposes and solves the online problem in a distributed manner, and prove that the distributed online solution is asymptotically optimal. The proposed distributed online algorithm is also practical and mitigates the user privacy issue by not sharing user utility functions. It is evaluated with trace-driven simulations and shown to outperform a benchmark scheme.

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. Quinn E (2008) Privacy and the new energy infrastructure. Soc Sci Res Netw 9:1995–2008

    Google Scholar 

  2. NIST (2010) Guidelines for smart grid cyber security, vol 2, privacy and the smart grid. Technical Report, 7628, Aug 2010

    Google Scholar 

  3. IEEE (2011) IEEE guide for smart grid interoperability of energy technology and information technology operation with the electric power system (EPS), end-use applications, and loads. IEEE Std. 2030–2011, Sept 2011

    Google Scholar 

  4. NIST (2009) Guidelines for the use of wireless communications: smart grid priority action plan. Dec 2009

    Google Scholar 

  5. NIST (2012) NIST framework and roadmap for smart grid interoperability standards, release 2.0. National Institute of Standards and Technology, Technical Report, Feb 2012

    Google Scholar 

  6. Samadi P, Mohsenian-Rad AH, Schober R et al (2012) Advanced demand side management for the future smart grid using mechanism design. IEEE Trans Smart Grid 3(3):1170–1180

    Google Scholar 

  7. Fahrioglu M, Alvarado F (2001) Using utility information to calibrate customer demand management behavior models. IEEE Trans Power Syst 16(2):317–322

    Article  Google Scholar 

  8. Samadi P, Mohsenian-Rad AH, Schober R et al (2010) Optimal real-time pricing algorithm based on utility maximization for smart grid. In: Proceedings of SmartGridComm’10, pp 415–420. IEEE, New York

    Google Scholar 

  9. Wang Y, Mao S, Nelms RM (2013) An online algorithm for optimal real-time energy distribution in smart grid. IEEE Trans Emerg Top Comput 1(1):10–21

    Article  Google Scholar 

  10. Palomar D, Chiang M (2006) A tutorial on decomposition methods for network utility maximization. IEEE J Sel Areas Commun 24(8):1439–1451

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Wang .

Rights and permissions

Reprints and permissions

Copyright information

© 2015 The Author(s)

About this chapter

Cite this chapter

Wang, Y., Mao, S., Nelms, R.M. (2015). Distributed Online Algorithm for Optimal Energy Distribution in Connected Microgrids. In: Online Algorithms for Optimal Energy Distribution in Microgrids. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-17133-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-17133-3_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17132-6

  • Online ISBN: 978-3-319-17133-3

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics