Skip to main content
SpringerLink
Log in

Deterministic-Based Energy Procurement

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

  • 246 Accesses

Abstract

In this chapter, the deterministic-based energy procurement problem of a large consumer is solved considering the six alternative power sources including bilateral contracts, pool market, wind turbine, photovoltaic system, self-generating units, and energy storage systems in the presence of the time-of-use rate of demand response program. The objective function and constraints are defined to minimize the total power procurement cost. The power price in the pool market is considered as predetermined values to get deterministic results. The time-of-use rate of demand response programs, as an effective way to reduce procurement cost, is implemented to decrease the total power procurement cost. In order to investigate the impact of demand response program, the problem is solved in two discrete case studies as without and with considering demand response program. The problem is formulated as a mixed-integer linear programming and solved by the CPLEX solver under GAMS optimization software. Obtained results in this section can be used as input to some uncertainty modeling methods to investigate the uncertainty of power price in the market, load demand, or any other uncertainty in the problem.

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

Access this chapter

Log in via an institution
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. J.M. Morales, J. Perez-Ruiz, Point estimate schemes to solve the probabilistic power flow. IEEE Trans. Power Syst. 22(4), 1594–1601 (2007)

    Article  Google Scholar 

  2. P. Akbary, M. Ghiasi, M.R.R. Pourkheranjani, H. Alipour, N. Ghadimi, Extracting appropriate nodal marginal prices for all types of committed reserve. Comput. Econ., 1–26 (2017)

    Google Scholar 

  3. 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 

  4. N. Sayyad, B. Mohammadi-Ivatloo, K. Zare, Optimal bidding strategy of electricity retailers using robust optimisation approach considering time-of-use rate demand response programs under market price uncertainties. IET Gener. Transm. Distrib. 9(4), 328–338 (2015)

    Article  Google Scholar 

  5. R. Rezaeipour, A. Zahedi, Multi-objective based economic operation and environmental performance of PV-based large industrial consumer. Sol. Energy 157, 227–235 (2017)

    Article  Google Scholar 

  6. H.A. Bagal, Y.N. Soltanabad, M. Dadjuo, K. Wakil, N. Ghadimi, Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory. Sol. Energy 169, 343–352 (2018)

    Article  Google Scholar 

  7. Y. Liu, W. Wang, N. Ghadimi, Electricity load forecasting by an improved forecast engine for building level consumers. Energy 139, 18–30 (2017)

    Article  Google Scholar 

  8. J.J. Vidal-Amaro, P.A. Østergaard, C. Sheinbaum-Pardo, Optimal energy mix for transitioning from fossil fuels to renewable energy sources – the case of the Mexican electricity system. Appl. Energy 150, 80–96 (2015)

    Article  Google Scholar 

  9. A.J. Chapman, B.C. McLellan, T. Tezuka, Prioritizing mitigation efforts considering co-benefits, equity and energy justice: fossil fuel to renewable energy transition pathways. Appl. Energy 219, 187–198 (2018)

    Article  Google Scholar 

  10. J. Benedek, T.-T. Sebestyén, B. Bartók, Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development. Renew. Sustain. Energy Rev. 90, 516–535 (2018)

    Article  Google Scholar 

  11. F. Tahri, A. Tahri, T. Oozeki, Performance evaluation of grid-connected photovoltaic systems based on two photovoltaic module technologies under tropical climate conditions. Energy Convers. Manag. 165, 244–252 (2018)

    Article  Google Scholar 

  12. 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 

  13. W.-C. Wang, J.-J. Wang, W.T. Chong, The effects of unsteady wind on the performances of a newly developed cross-axis wind turbine: a wind tunnel study. Renew. Energy 131, 644–659 (2018)

    Article  Google Scholar 

  14. F. Mirzapour, M. Lakzaei, G. Varamini, M. Teimourian, N. Ghadimi, A new prediction model of battery and wind-solar output in hybrid power system. J. Ambient Intell. Humaniz. Comput., 1–11 (2017)

    Google Scholar 

  15. S. Nojavan, K. Zare, Interval optimization based performance of photovoltaic/wind/FC/electrolyzer/electric vehicles in energy price determination for customers by electricity retailer. Sol. Energy 171, 580–592 (2018)

    Article  Google Scholar 

  16. S. Nojavan, H. Ghesmati, K. Zare, Robust optimal offering strategy of large consumer using IGDT considering demand response programs. Electr. Power Syst. Res. 130, 46–58 (2016)

    Article  Google Scholar 

  17. M. Majidi, S. Nojavan, N. Nourani Esfetanaj, A. Najafi-Ghalelou, K. Zare, A multi-objective model for optimal operation of a battery/PV/fuel cell/grid hybrid energy system using weighted sum technique and fuzzy satisfying approach considering responsible load management. Sol. Energy 144, 79–89 (2017)

    Article  Google Scholar 

  18. D.T. Nguyen, L.B. Le, Optimal bidding strategy for microgrids considering renewable energy and building thermal dynamics. IEEE Trans. Smart Grid 5(4), 1608–1620 (2014)

    Article  Google Scholar 

  19. S. Nojavan, M. Majidi, N.N. Esfetanaj, An efficient cost-reliability optimization model for optimal siting and sizing of energy storage system in a microgrid in the presence of responsible load management. Energy 139, 89–97 (2017)

    Article  Google Scholar 

  20. S. Nojavan, K. Zare, B. Mohammadi-Ivatloo, Selling price determination by electricity retailer in the smart grid under demand side management in the presence of the electrolyser and fuel cell as hydrogen storage system. Int. J. Hydrogen Energy 42(5), 3294–3308 (2017)

    Article  Google Scholar 

  21. S. Nojavan, H. Qesmati, K. Zare, H. Seyyedi, Large consumer electricity acquisition considering time-of-use rates demand response programs. Arab. J. Sci. Eng. 39(12), 8913–8923 (2014)

    Article  MathSciNet  Google Scholar 

  22. A. Brooke, D. Kendrick, A. Meeraus, GAMS user’s guide. Redwood City (CA): The Scientific Press; 1990. Available: http://www.gams.com/docs/gams/GAMSUsersGuide.pdf

  23. CPLEX 12 [Online]. Available: https://www.gams.com/latest/docs/S_CPLEX.html. Accessed 15 Jul 2018

  24. K. Zare, M.P. Moghaddam, M.K. Sheikh El Eslami, Demand bidding construction for a large consumer through a hybrid IGDT-probability methodology. Energy 35(7), 2999–3007 (2010)

    Article  Google Scholar 

  25. H. Ebrahimian, S. Barmayoon, M. Mohammadi, N. Ghadimi, The price prediction for the energy market based on a new method. Econ. Res. Istraživanja 31(1), 313–337 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sharif University of Technology, Knowledge Management Office, Tehran, Iran

    Mahdi Shafieezadeh

  2. Department of Electrical Engineering, Faculty of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

    Adel Akbarimajd

  3. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Noradin Ghadimi

  4. Department of Information and Communications Technology, Malek Ashtar University of Technology, Tehran, Iran

    Mojtaba Madadkhani

Authors
  1. Mahdi Shafieezadeh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Adel Akbarimajd
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Noradin Ghadimi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mojtaba Madadkhani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Noradin Ghadimi .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Bonab, Bonab, Iran

    Sayyad Nojavan

  2. Sharif University of Technology, Knowledge Management Office, Tehran, Iran

    Mahdi Shafieezadeh

  3. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Noradin Ghadimi

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

Shafieezadeh, M., Akbarimajd, A., Ghadimi, N., Madadkhani, M. (2019). Deterministic-Based Energy Procurement. 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_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-03229-6_2

  • 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

Search

Navigation