Skip to main content

Capacity Benefit Margin Evaluation in Multi-area Power Systems Including Wind Power Generation Using Particle Swarm Optimization

  • Chapter
Wind Power Systems

Part of the book series: Green Energy and Technology ((GREEN,volume 0))

Abstract

Available transfer capability (ATC) is an index showing the measure of transfer capability remaining in the physical transmission network over and above already existing transactions. To determine ATC between two areas in a multi-area power system, different parameters such as total transfer capability (TTC), transmission reliability margin (TRM), and capacity benefit margin (CBM) should be calculated. CBM ensures security of system operation when the system faces generation deficiency in some areas. The presence of wind turbine generators (WTGs) in multi-area power systems creates new challenges in CBM calculation process. In this chapter, three different methods are proposed for CBM evaluation considering WTG which reflect different objectives. In the proposed methods, CBM determination is formulated as an optimization problem and Particle Swarm Optimization method is used to solve the problem. The numerical results for modified IEEE reliability test system are presented to demonstrate the effectiveness of the proposed approaches.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ackerman, T.: Wind Power in Power Systems. John Wiley & Sons, Chichester (2005)

    Book  Google Scholar 

  2. Karki, R., Hu, P., Billinton, R.: A simplified wind power generation model for reliability evaluation. IEEE Transactions on Energy Conversion 21(2), 533–540 (2006)

    Article  Google Scholar 

  3. Fockens, S., Wijk, A.J.M., Turkenburg, W.C., Singh, C.: Reliability analysis of generating systems including intermittent sources. International Journal on Electric Power & Energy Systems 14(1), 2–8 (1992)

    Article  Google Scholar 

  4. Billinton, R., Wangdee, W.: Reliability-based transmission reinforcement planning associated with large–scale wind farms. IEEE Transactions on Power Systems 22(1), 34–41 (2007)

    Article  Google Scholar 

  5. Ummels, B.C., Gibescu, M., Pelgrum, E., Kling, W.L., Brand, A.J.: Impact of wind power on thermal generation unit commitment and dispatch. IEEE Transactions on Energy Conversion 22(1), 44–51 (2007)

    Article  Google Scholar 

  6. American Electric Reliability Council, Available Transfer capability definitions and determination, Reference Document (1996)

    Google Scholar 

  7. American Electric Reliability Council, Transmission Capability Margins and Their Use in ATC Determination, White Paper (1999)

    Google Scholar 

  8. Ou, Y., Singh, C.: Assessment of available transfer capability and margins. IEEE Transactions on Power Systems 17(2), 463–468 (2002)

    Article  Google Scholar 

  9. Shin, D.J., Kim, J.O., Kim, K.H., Singh, C.: Probabilistic approach to available transfer capability calculation. Electric Power Systems Research 77(7), 813–820 (2006)

    Article  Google Scholar 

  10. Othman, M.M., Mohamed, A., Hussain, A.: Available transfer capability assessment using evolutionary programming based capacity benefit margin. International Journal of Electrical Power & Energy Systems 28(3), 166–176 (2006)

    Article  Google Scholar 

  11. Park, J.B., Lee, K.S., Shin, J.R., Lee, K.Y.: A particle swarm optimization for economic dispatch with nonsmooth cost functions. IEEE Transactions on Power Systems 20(1), 34–42 (2005)

    Article  Google Scholar 

  12. Zhao, B., Guo, C.X., Cao, Y.J.: A multiagent-based particle swarm optimization approach for optimal reactive power dispatch. IEEE Transactions on Power Systems 20(2), 1070–1078 (2005)

    Article  Google Scholar 

  13. Masters, C.L., Mutale, J., Strbac, G., Curcic, S., Jenkins, N.: Statistical evaluation of voltages in distribution systems with embedded wind generation. In: IEE Proceeding on Generation, Transmission & Distribution, vol. 147(4), pp. 207–212 (2000)

    Google Scholar 

  14. Naka, S., Genji, T., Yura, T., Fukuyama, Y.: A hybrid particle swarm optimization for distribution state estimation. IEEE Transactions on Power Systems 18(1), 60–68 (2003)

    Article  Google Scholar 

  15. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceeding IEEE International Conference on Neural Networks, pp. 1942–1948 (1995)

    Google Scholar 

  16. Bergh, F.V.D., Engelbrecht, A.P.: Assessment a cooperative approach to particle swarm optimization. IEEE Transactions on Evolutionary Computation 8(3), 225–239 (2004)

    Article  Google Scholar 

  17. Reliability Test System Task Force of the Application of Probability Methods Subcommittee, IEEE reliability test system. IEEE Transactions on Power Apparatus and Systems PAS-98, 2047–2054 (1979)

    Google Scholar 

  18. Iran Meteorological Organization, http://www.weather.ir

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Berlin Heidelberg

About this chapter

Cite this chapter

Ramezani, M., Falaghi, H., Singh, C. (2010). Capacity Benefit Margin Evaluation in Multi-area Power Systems Including Wind Power Generation Using Particle Swarm Optimization. In: Wang, L., Singh, C., Kusiak, A. (eds) Wind Power Systems. Green Energy and Technology, vol 0. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13250-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13250-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13249-0

  • Online ISBN: 978-3-642-13250-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics