Skip to main content

Electricity Market Trading Mechanism and Business Model Under Coordination of Distribution and Storage

  • Conference paper
  • First Online:
The 37th Annual Conference on Power System and Automation in Chinese Universities (CUS-EPSA) (CUS-EPSA 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1030))

Abstract

Combined with the current electricity price structure and market trading rules, this paper analyzes electricity market trading mechanism and business model under coordination of distribution and storage. Electricity market trading mechanism includes direct transactions, Locational Marginal Pricing (LMP) of distribution and storage and distributed iterative clearing mechanism; business model includes the leasing model of shared energy storage. Based on LMP, is designed for ES; a double auction-based mechanism is proposed to study the behavior in an energy sharing market composed of distributed PV producers and consumers, thus summarizing the distributed iterative clearing mechanism. The calculation example gives the nodal electricity price and market clearing under the coordination of distribution and storage and the dynamic capacity leasing model of shared energy storage is analyzed to verify the feasibility and effectiveness of the proposed model.

This paper is supported in part by State Grid Sichuan Economic Research Institute (item No. B7199622H012).

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 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 449.99
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. Sun, W., Pei, L., Xiang, W., et al.: Evaluation method of system value for energy storage in power system. Autom. Electr. Power Syst. 43(8), 47–55 (2019)

    Google Scholar 

  2. Li, J., Tian, L., Lai, X.: Outlook of electrical energy storage technologies under energy Internet background. Autom. Electr. Power Syst. 39(23), 15–25 (2015)

    Google Scholar 

  3. Ziegler, M.S., Mueller, J.M., Pereira, G.D., et al.: Storage requirements and costs of shaping renewable energy toward grid decarbonization. Joule 3(9), 2134–2153 (2019)

    Google Scholar 

  4. Dowling, J.A., Rinaldi, K.Z., Ruggles, T.H., et al.: Role of long-duration energy storage in variable renewable electricity systems. Joule 4(9), 1907–1928 (2020)

    Google Scholar 

  5. Sepulveda, N.A., Jenkins, J.D., Edington, A., et al.: The design space for long-duration energy storage in decarbonized power systems. Nat. Energy 6, 506–516 (2021)

    Google Scholar 

  6. Chen, Q., Wang, K., Chen, S., et al.: Transactive energy system for distributed agents: architecture, mechanism design and key technologies. Autom. Electr. Power Syst. 42(3), 1–7 (2018)

    Google Scholar 

  7. Nunna, H.K., Anudeep, S., Kumar, R.A., et al.: Multiagent-based energy trading platform for energy storage systems in distribution systems with interconnected microgrids. IEEE Trans. Ind. Appl. 56(3), 3207–3217 (2020)

    Google Scholar 

  8. He, L., Zhang, J.: A community sharing market with PV and energy storage: an adaptive bidding-based double-side auction mechanism. IEEE Trans. Smart Grid 12(3), 2450–2461 (2021)

    Google Scholar 

  9. Bayram, I.S., Abdallah, M., Tajer, A., et al.: A stochastic sizing approach for sharing-based energy storage applications. IEEE Trans. Smart Grid 8(3), 1075–1084 (2017)

    Google Scholar 

  10. Wang, J., Zhong, H., Wu, C., et al.: Incentivizing distributed energy resource aggregation in energy and capacity markets: an energy sharing scheme and mechanism design. Appl. Energy 252 (2019)

    Google Scholar 

  11. Alabdullatif, A.M., Gerding, E.H., Perez-Diaz, A.: Market design and trading strategies for community energy markets with storage and renewable supply. Energies 13(4), 972 (2020)

    Article  Google Scholar 

  12. Wang, Y., Saad, W., Han, Z., Poor, H.V., Başar, T.: A game-theoretic approach to energy trading in the smart grid. IEEE Trans. Smart Grid 5(3), 1439–1450 (2014)

    Google Scholar 

  13. Gu, C., Li, F., He, Y.: Enhanced long-run incremental cost pricing considering the impact of network contingencies. IEEE Trans. Power Syst. 27, 344–352 (2012)

    Article  Google Scholar 

  14. Li, F., Tolley, D.L.: Long-run incremental cost pricing based on unused capacity. IEEE Trans. Power Syst. 22, 1683–1689 (2007)

    Article  Google Scholar 

  15. Shuai, X., Wang, X., Wu, X., et al.: Shared energy storage capacity allocation and dynamic lease model considering electricity-heat demand response. Autom. Electr. Power Syst. 45(19), 24–32 (2021)

    Google Scholar 

  16. Yan, X., Gu, C., Li, F., et al.: LMP-based pricing for energy storage in local market to facilitate PV penetration. IEEE Trans. Power Syst. 33(3), 3373–3382 (2018)

    Google Scholar 

Download references

Acknowledgment

This work was supported in part by the State Grid Sichuan Economic Research Institute (item No. B7199622H012).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yixin Yao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 State Grid Electric Power

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ye, S. et al. (2023). Electricity Market Trading Mechanism and Business Model Under Coordination of Distribution and Storage. In: Zeng, P., Zhang, XP., Terzija, V., Ding, Y., Luo, Y. (eds) The 37th Annual Conference on Power System and Automation in Chinese Universities (CUS-EPSA). CUS-EPSA 2022. Lecture Notes in Electrical Engineering, vol 1030. Springer, Singapore. https://doi.org/10.1007/978-981-99-1439-5_72

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-1439-5_72

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1438-8

  • Online ISBN: 978-981-99-1439-5

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics