Skip to main content

Robust Energy Procurement Under Real-Time Pricing

  • Chapter
  • First Online:
Robust Energy Procurement of Large Electricity Consumers

Abstract

In order to reduce power consumption and operating cost of power generation units, demand response programs can be considered as an effective and essential tool. As a key component of demand response, real-time pricing (RTP) encourages consumers in an economical and efficient way. In this chapter, RTP scheme is implemented to manage peak load for the power procurement problem of a large consumer. Some part of the required power of the large consumer procured from the pool market and power price in the market has uncertainty. So, the robust optimization method is used to model the uncertainty in the system.

The results of using RTP are presented for a case study, and obtained results are analyzed and compared with deterministic and time-of-use demand response program which are detained in Chaps. 4 and 8, respectively.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 129.99
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. H. Wang, H. Fang, X. Yu, S. Liang, How real time pricing modifies Chinese households’ electricity consumption. J. Clean. Prod. 178, 776–790 (2018)

    Article  Google Scholar 

  2. N. Ghadimi, A. Afkousi-Paqaleh, A. Emamhosseini, A PSO-based fuzzy long-term multi-objective optimization approach for placement and parameter setting of UPFC. Arab. J. Sci. Eng. 39(4), 2953–2963 (2014)

    Article  Google Scholar 

  3. N. Ghadimi, MDE with considered different load scenarios for solving optimal location and sizing of shunt capacitors. Natl. Acad. Sci. Lett. 37(5), 447–450 (2014)

    Article  MathSciNet  Google Scholar 

  4. F. Kühnlenz, P.H.J. Nardelli, S. Karhinen, R. Svento, Implementing flexible demand: real-time price vs. market integration. Energy 149, 550–565 (2018)

    Article  Google Scholar 

  5. S. Favuzza et al., Real-time pricing for aggregates energy resources in the Italian energy market. Energy 87, 251–258 (2015)

    Article  Google Scholar 

  6. N. Nezamoddini, Y. Wang, Real-time electricity pricing for industrial customers: survey and case studies in the United States. Appl. Energy 195, 1023–1037 (2017)

    Article  Google Scholar 

  7. Y. Dai, Y. Gao, H. Gao, H. Zhu, Real-time pricing scheme based on Stackelberg game in smart grid with multiple power retailers. Neurocomputing 260, 149–156 (2017)

    Article  Google Scholar 

  8. H. Anand, R. Ramasubbu, A real time pricing strategy for remote micro-grid with economic emission dispatch and stochastic renewable energy sources. Renew. Energy 127, 779–789 (2018)

    Article  Google Scholar 

  9. T. Niknam, A. Kavousifard, S. Tabatabaei, J. Aghaei, Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks. J. Power Sources 196(20), 8881–8896 (2011)

    Article  Google Scholar 

  10. H.A. Aalami, S. Nojavan, Energy storage system and demand response program effects on stochastic energy procurement of large consumers considering renewable generation. IET Gener. Transm. Distrib. 10(1), 107–114 (2016)

    Article  Google Scholar 

  11. S. Nojavan, H. allah Aalami, Stochastic energy procurement of large electricity consumer considering photovoltaic, wind-turbine, micro-turbines, energy storage system in the presence of demand response program. Energy Convers. Manag. 103, 1008–1018 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rezvani, A. (2019). Robust Energy Procurement Under Real-Time Pricing. In: Nojavan, S., Shafieezadeh, M., Ghadimi, N. (eds) Robust Energy Procurement of Large Electricity Consumers . Springer, Cham. https://doi.org/10.1007/978-3-030-03229-6_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-03229-6_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03228-9

  • Online ISBN: 978-3-030-03229-6

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics