Skip to main content
SpringerLink
Log in

A Robust-Stochastic Approach for Energy Transaction in Energy Hub Under Uncertainty

  • Chapter
  • First Online:
Robust Optimal Planning and Operation of Electrical Energy Systems

Abstract

The global enhancement in gas-fired units has increased the rate of interdependency between electricity and natural gas networks. Nowadays, electrical systems heavily depend on reliability of gas suppliers to ramp up/ramp down during the on-peak hours and intermittent renewable generation and contingencies. Because of interdependency between electricity and natural gas system, it is imperative to co-optimize such two systems in an integrated scheme for improving the overall efficiency of the whole system and minimizing total investment and operation costs. This work proposes a hybrid robust-stochastic approach, which focuses on coordinated optimal scheduling of natural gas and electricity co-generation by considering market price contingencies. It should be noted that in proposed work, the methodology only considers purchasing power from market. The proposed model minimizes total costs of these two systems simultaneously, where both electrical and natural gas demand uncertainties are considered. On the other hand, a real-time demand response (DR) program is also considered in order to make load profile smoother to avoid technical and operational issues during on-peak hours in the system. In addition, the proposed method is applied on IEEE 24-bus RTS combined with natural gas network, and the simulation results are reported to evaluate the performance of the proposed model. The obtained results show that the proposed hybrid model has more economic efficiency and takes benefits of gas-electricity coordinated scheduling.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
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. Colson, C. M., Nehrir, H., & Nehrir, M. H. (2011). Evaluating the benefits of a hybrid solid oxide fuel cell combined heat and power plant for energy sustainability and emissions avoidance. IEEE Transactions on Energy Conversion, 26(1), 140–148.

    Article  Google Scholar 

  2. Geidl, M., Koeppel, G., & Favre-Perrod, P. (2007, March). The energy hub–A powerful concept for future energy systems. Third annual Carnegie mellon conference on the electricity industry, pp. 13–14.

    Google Scholar 

  3. Hashemi, R. (2009). A developed offline model for optimal operation of combined heating and cooling and power systems. IEEE Transactions on Energy Conversion, 24(1), 222–229.

    Article  Google Scholar 

  4. Hemmes, K., Zachariah-Wolf, J. L., Geidl, M., & Andersson, G. (2007). Towards multi-source multi-product energy systems. International Journal of Hydrogen Energy, 32(10–11), 1332–1338.

    Article  Google Scholar 

  5. Correa-Posada, C. M., & Sanchez-Martin, P. (2015). Integrated power and natural gas model for energy adequacy in short-term operation. IEEE Transactions on Power Apparatus and Systems, 30(6), 3347–3355.

    Article  Google Scholar 

  6. Fang, J., Zeng, Q., Ai, X., Chen, Z., & Wen, J. (2018). Dynamic optimal energy flow in the integrated natural gas and electrical power systems. IEEE Transactions on Sustainable Energy, 9(1), 188–198.

    Article  Google Scholar 

  7. Sardou, I. G., Khodayar, M. E., & Taghi Ameli, M. (2018). Coordinated operation of natural gas and electricity networks with microgrid aggregators. IEEE Transactions on Smart Grid, 9(1), 199–210.

    Article  Google Scholar 

  8. Soroudi, A., Mohammadi-Ivatloo, B., & Rabiee, A. (2014). Energy hub management with intermittent wind power (pp. 413–438). https://doi.org/10.1007/978-981-4585-30-9_16.

    Chapter  Google Scholar 

  9. Wang, C., Wei, W., Wang, J., Liu, F., & Mei, S. (2017). Strategic offering and equilibrium in coupled gas and electricity markets. IEEE Transactions on Power Apparatus and Systems, 33(1), 1–1.

    Article  Google Scholar 

  10. Wen, Y., Qu, X., Li, W., Liu, X., & Ye, X. (2017). Synergistic operation of electricity and natural gas networks via ADMM. IEEE Transactions on Smart Grid, 1–1.

    Google Scholar 

  11. Zhang, X., Che, L., Shahidehpour, M., Alabdulwahab, A. S., & Abusorrah, A. (2015). Reliability-based optimal planning of electricity and natural gas interconnections for multiple energy hubs. IEEE Transactions on Smart Grid, 99, 1–10.

    Article  Google Scholar 

  12. Zhou, Y., Gu, C., Wu, H., & Song, Y. (2017). An equivalent model of gas networks for dynamic analysis of gas-electricity systems. IEEE Transactions on Power Apparatus and Systems, 32(6), 4255–4264.

    Article  Google Scholar 

  13. Dolatabadi, A., Jadidbonab, M., & Mohammadi-Ivatloo, B. (2017). Short-term scheduling strategy for wind-based energy hub: A hybrid stochastic/IGDT approach. IEEE Transactions on Sustainable Energy, 99, 1.

    Google Scholar 

  14. Dolatabadi, A., & Mohammadi-Ivatloo, B. (2017). Stochastic risk-constrained scheduling of smart energy hub in the presence of wind power and demand response. Applied Thermal Engineering, 123, 40–49.

    Article  Google Scholar 

  15. Dolatabadi, A., Mohammadi-Ivatloo, B., Abapour, M., & Tohidi, S. (2017). Optimal stochastic design of wind integrated energy hub. IEEE Transactions on Industrial Informatics, 13(5), 2379–2388.

    Article  Google Scholar 

  16. He, C., Wu, L., Liu, T., & Bie, Z. (2018). Robust co-optimization planning of interdependent electricity and natural gas systems with a joint N-1 and probabilistic reliability criterion. IEEE Transactions on Power Apparatus and Systems, 33(2), 2140–2154.

    Article  Google Scholar 

  17. He, C., Wu, L., Liu, T., & Shahidehpour, M. (2017). Robust co-optimization scheduling of electricity and natural gas systems via ADMM. IEEE Transactions on Sustainable Energy, 8(2), 658–670.

    Article  Google Scholar 

  18. Martinez-Mares, A., & Fuerte-Esquivel, C. R. (2013). A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty. IEEE Transactions on Power Apparatus and Systems, 28(4), 3964–3976.

    Article  Google Scholar 

  19. Neyestani, N., Yazdani-Damavandi, M., Shafie-Khah, M., Chicco, G., & Catalao, J. P. S. (2015). Stochastic modeling of multi-energy carrier dependencies in smart local networks with distributed energy resources. IEEE Transactions on Smart Grid, 6(4), 1748–1762.

    Article  Google Scholar 

  20. Parisio, A., Del Vecchio, C., & Vaccaro, A. (2012). A robust optimization approach to energy hub management. International Journal of Electrical Power & Energy Systems, 42(1), 98–104.

    Article  Google Scholar 

  21. Soroudi, A., & Keane, A. (2015). Risk averse energy hub management considering plug-in electric vehicles using information gap decision theory. In Power systems (Vol. 89, pp. 107–127). Singapore: Springer.

    Google Scholar 

  22. Vahid-Pakdel, M. J., Nojavan, S., Mohammadi-Ivatloo, B., & Zare, K. (2017). Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response. Energy Conversion and Management, 145, 117–128.

    Article  Google Scholar 

  23. Wang, C., et al. (2017). Robust defense strategy for gas-electric systems against malicious attacks. IEEE Transactions on Power Apparatus and Systems, 32(4), 2953–2965.

    Article  Google Scholar 

  24. Zhang, X., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. (2016). Hourly electricity demand response in the stochastic day-ahead scheduling of coordinated electricity and natural gas networks. IEEE Transactions on Power Apparatus and Systems, 31(1), 592–601.

    Article  Google Scholar 

  25. Alipour, M., Zare, K., & Abapour, M. (2017). MINLP probabilistic scheduling model for demand response programs integrated energy hubs. IEEE Transactions on Industrial Informatics, 14(1), 1–1.

    Article  Google Scholar 

  26. Bahrami, S., Toulabi, M., Ranjbar, S., Moeini-Aghtaie, M., & Ranjbar, A. M., (2017). A decentralized energy management framework for energy hubs in dynamic pricing markets. Ieeexplore.Ieee.Org

  27. Zhou, Y., Wei, Z., Sun, G., Cheung, K. W., Zang, H., & Chen, S. (2018). A robust optimization approach for integrated community energy system in energy and ancillary service markets. Energy, 148, 1–15.

    Article  Google Scholar 

  28. Nazari-Heris, M., Mohammadi-Ivatloo, B., Gharehpetian, G. B., & Shahidehpour, M. (2018). Robust short-term scheduling of integrated heat and power microgrid. IEEE Systems Journal, 99, 1–9.

    Article  Google Scholar 

  29. Majidi, M., Nojavan, S., & Zare, K. (2017). Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program. Energy Conversion and Management, 144, 132–142.

    Article  Google Scholar 

  30. Nazari-Heris, M., Abapour, S., & Mohammadi-Ivatloo, B. (2018). Optimal economic dispatch of FC-CHP based heat and power micro-grids. Applied Thermal Engineering, 114, 756–769.

    Article  Google Scholar 

  31. Soroudi, A. (2017). Energy storage systems. In Power system optimization modeling in GAMS (pp. 175–201). Cham: Springer.

    Chapter  Google Scholar 

  32. Wu, J., Zhang, B., Deng, W., & Zhang, K. (2015). Application of Cost-CVaR model in determining optimal spinning reserve for wind power penetrated system. International Journal of Electrical Power & Energy Systems, 66, 110–115.

    Article  Google Scholar 

  33. CONOPT. [Online]. Available: https://www.gams.com/latest/docs/S_CONOPT.html. Accessed 20 May 2018.

  34. Nazari-Heris, M., Madadi, S., & Mohammadi-Ivatloo, B. (2018). Optimal management of hydrothermal-based micro-grids employing robust optimization method. In Classical and recent aspects of power system optimization. (pp. 407–420). London, United Kingdom: Elsevier.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Khezr Sanjani, Neda Vahabzad, Morteza Nazari-Heris & Behnam Mohammadi-ivatloo

Authors
  1. Khezr Sanjani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Neda Vahabzad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Morteza Nazari-Heris
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Behnam Mohammadi-ivatloo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Khezr Sanjani .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-ivatloo

  2. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Morteza Nazari-Heris

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

Sanjani, K., Vahabzad, N., Nazari-Heris, M., Mohammadi-ivatloo, B. (2019). A Robust-Stochastic Approach for Energy Transaction in Energy Hub Under Uncertainty. In: Mohammadi-ivatloo, B., Nazari-Heris, M. (eds) Robust Optimal Planning and Operation of Electrical Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-04296-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04296-7_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04295-0

  • Online ISBN: 978-3-030-04296-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation