Skip to main content

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 49))

Abstract

This paper mainly deals with the design and analysis of an Energy Management model using a SCADA (Supervisory Control and Data Acquisition) system. Each power system is restricted by its applicable control authority, forming a decentralized structure by using consistent network. A central optimal power flow problem is decomposed into distributed subproblems to obtain the optimal solution. A new energy management model is designed which enables a flexible and efficient operation of various power plants. Based on the numerical calculations and graphical representations the renewable energy sources in both configurations is independent of the enduring or intermittent main energy resource availability, which leads to effective production.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Desai, P., Mahale, S., Desai, P.: Smart SCADA and automation system in power plants. Int. J. Curr. Eng. Technol. (2014) E-ISSN 2277-4106, P-ISSN 2347-5161

    Google Scholar 

  2. Vale, Z.: Distribution system operation supported by contextual energy resource management based on intelligent SCADA. Renew Energy 52, 143–153 (2013)

    Google Scholar 

  3. Maheswari, Vijayalakshmi: Implementation of Lagrangian decomposition model for power management using distribution automation. In: National Conference on Frontiers in Applied Sciences and Computer Technology (FACT’12) 6, 69–76 (2012)

    Google Scholar 

  4. Zhong, H., Xia, Q., Kang, C.: An efficient decomposition method for the integrated dispatch of generation and load. IEEE Trans. Power Syst. (2015) (0885-8950 ©)

    Google Scholar 

  5. Singh, B., Sharma, N.K., Tiwari, A.N.: Applications of phasor measurement units (PMUs) in electric power system networks. Int. J. Eng. Sci. Technol. 3(3), 64–82 (2011)

    Article  Google Scholar 

  6. Logenthiran, T., Woo, W.L., Phan, V.T.: Lagrangian relaxation hybrid with evolutionary algorithm for short-term generation scheduling. Electr. Power Energy Syst. 64, 356–364 (2015)

    Article  Google Scholar 

  7. Shalini, Sunil Kumar, Birtukan Teshome: Working phases of SCADA system for power distribution networks. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 2(5), 2037–2043 (2013)

    Google Scholar 

  8. Leonardi, A., Mathioudakis, K.:Towards the smart grid: substation automation architecture and technologies. Adv. Electr. Eng. 2014 (2014) (Article ID 896296)

    Google Scholar 

  9. Felix, Moslehi, K., Bose, A.: Power system control centers: Past, present, and future, In: Proceedings of the IEEE. 93(11), 1890−1908 (Nov. 2005)

    Google Scholar 

  10. Sayeed Salam, MD.: Solution to short-temunit commitment problem. In: Energy Systems, pp 255–292, Springer, Berlin (2010)

    Google Scholar 

  11. Vale, Z.A., Morais, H., Silva, M., Ramos, C.: Towards a future SCADA. IEEE Xplore, 29 June 2015

    Google Scholar 

  12. Dobriceanu, M., Bitoleanu, A.: SCADA system for monitoring water supply networks. WSEAS Trans. Syst. 7(10) (Oct. 2008)

    Google Scholar 

  13. Roy, R.B.: Controlling of electrical power system network by using SCADA. Int. J. Sci. Eng. Res. 3(10) (Oct. 2012) ISSN 2229-5518

    Google Scholar 

  14. Ausgeführt, AM.: A Lagrangian decomposition approach combined with meta heuristics for the knapsack constrained maximum spanning tree problem. A master’s thesis, Viena university of technology (2008). ISBN 978-3-540-70807-0

    Google Scholar 

  15. Nishi, T.: Lagrangian relaxation approach for solving optimal firing sequence problems by decomposition of timed petri nets. In: SICE Annual Conference 2008. The University Electro-Communications, Japan (2008)

    Google Scholar 

  16. Arnold, M., Knopfli, S.: Improvement of optimal power flow (OPF) decomposition methods applied to multi-area power systems. IEEE Trans. (2007). doi: 10.1109/PCT.2007.4538505, pp. 1–6

  17. Salam, S.: Unit commitment solution methods. World Acad. Sci. Eng. Technol. 11 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Subramani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Subramani, R., Vijayalakhsmi, C. (2016). Design of Lagrangian Decomposition Model for Energy Management Using SCADA System. In: Vijayakumar, V., Neelanarayanan, V. (eds) Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’). Smart Innovation, Systems and Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-30348-2_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30348-2_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30347-5

  • Online ISBN: 978-3-319-30348-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics