Skip to main content

Quoting Model Strategy of Thermal Power Plant Considering Marginal Cost

  • Conference paper
  • First Online:
  • 1938 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 921))

Abstract

In the bidding market of the electricity market, most thermal power enterprises compete on the basis of marginal cost. In order to meet the needs of reform and development, thermal power generation enterprises must set up a set of practical bidding strategies to maximize the interests of enterprises while tapping potential and increasing efficiency and reducing costs to provide the basis for their competition in the electricity market. This paper first explains the theoretical basis of marginal cost bidding function. Then the mathematical model of the quotation is established. Finally, a concrete algorithm based on the mixed strategy model is given. The optimal value of the expected return of the generator is obtained to form the basis of quotation for the generator.

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

Buying options

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Li, S.F.: Study on voltage and reactive power control strategy of substation based on nine-domain diagram. Qinghai Electr. Power 2(5), 1–4+64 (2005)

    Google Scholar 

  2. Ren, X., Cheng, H., Liu, J.: Voltage and reactive power optimization control of substation based on taboo search algorithm. Relay 8, 31–34+39 (2008)

    Google Scholar 

  3. Zhang, Y., Ren, Z., Liao, M., Li, F.: Optimal reactive compensation on tower of 10 kV long distribution feeder. Electr. Power 33(9), 50–52 (2000)

    Google Scholar 

  4. Wang, L., Huang, C., Guo, S., Cao, G.: The design of the voltage reactive power comprehensive control device of substation based on fuzzy control theory. Relay 31(8), 40–42 (2003)

    Google Scholar 

  5. Wu, Y., Yang, Q., Yu, Z.: Design for voltage and reactive power automatic control device in substation on DSP. Program. Controll. Fact. Autom. 9(8), 101–103 (2008)

    Google Scholar 

  6. Mohsenian-Rad, A.H., Wong, V., Jatskevich, J., et al.: Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid. In: Innovative Smart Grid Technologies (ISGT), pp. 1–6 (2010)

    Google Scholar 

  7. Lujano-Rojas, J.M., Monteiro, C., Dufo-Lopez, R.A.: Optimum residential load management strategy for real time pricing (RTP) demand response programs. Energ. Policy 45(2), 671–679 (2012)

    Article  Google Scholar 

  8. Gottwalt, S., Ketter, W., Block, C., et al.: Demand side management—a simulation of household behavior under variable prices. Energ. Policy 39(12), 8163–8174 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anlong Su .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Su, A., Zhu, M., Wang, S., Gao, K., Yuan, J., Lei, Z. (2020). Quoting Model Strategy of Thermal Power Plant Considering Marginal Cost. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_40

Download citation

Publish with us

Policies and ethics