Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 293))

  • 1609 Accesses

Abstract

This paper proposed an issue aiming at the goal of pierces the relationship between the emission trading scheme and dynamic economic dispatch (DED) problem for the electricity utility. A model of the CO2 emission trading market will be introduced into DED problem incorporating wind power plants and independent power providers (IPPs). The CO2 emission trading is treated as the inner-cost, and the superfluous CO2 quotas will be resale into the market, whereas the shortage quotas should be purchased from the market. The accelerated particle swarm optimization (APSO) algorithm, which avoid prematurity convergence of the original PSO and improve searching efficiency, is introduced to determine the DED strategy of the utility with incorporation of renewable power generation and contribution of IPPs.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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. Wollenberg, B. F. (1996). Power generation operation and control (2nd ed.). New York: Wiley.

    Google Scholar 

  2. Celik, A. C. (2003). A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey. Renewable Energy, 29, 593–604.

    Google Scholar 

  3. Hu, J., & Zeng, J. (2007). A two-order particle swarm optimization model. Journal of Computer Research and Development, 44(11), 1825–1831.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tung-Sheng Zhan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhan, TS., Kao, CC., Niu, BR. (2014). Dynamic Economic Dispatch Incorporating Wind Power Generation with Carbon Trading. In: Juang, J., Chen, CY., Yang, CF. (eds) Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013). Lecture Notes in Electrical Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-04573-3_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-04573-3_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04572-6

  • Online ISBN: 978-3-319-04573-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics