Skip to main content
SpringerLink
Log in

The Model and Energy Measurement of Energy Hub

  • Chapter
  • First Online:
Energy Internet and We-Energy

Part of the book series: Renewable Energy Sources & Energy Storage ((RESES))

  • 640 Accesses

Abstract

This chapter proposes a new method to evaluate integrated energy systems which take full consideration of the utilization effect of renewable energy. Exergy analysis of multiple energy system is introduced from the perspective of quality of energy. A new power flow expression of energy hub contain storage is given in order to overcome the disadvantage of traditional power flow expression. This chapter also presents a novel droop control method of energy hubs which contain thermal and electric droop control method in a multiple energy system. The proposed energy hub droop control method can proportional allocate different energy hubs thermal and electric outputs according to the corresponding energy maximum output power of energy hubs to allow independent operation of the energy hubs and ensure the stability of the multiple energy system. The three-dimensional diagrams of energy hub droop control method is presented to integrally represent the relationship between systems parameters and the inputs of energy hub meanwhile solely represent the relationship between systems parameters and each input of energy hub that using proposed droop control method. Numerical simulations demonstrate the effectiveness of the proposed droop control method based on energy hub.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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. Martin Geidl, G. Andersson, Optimal power Flow of multiple energy carriers. IEEE Trans. Power Syst. 22(1), 145–155 (2007)

    Article  Google Scholar 

  2. Ralph Evins et al., New formulations of the ‘energy hub’ model to address operational constraints. Energy 73(73), 387–398 (2014)

    Article  Google Scholar 

  3. Mohammad Hossein Barmayoon et al., Energy storage in renewable-based residential energy hubs. IET Gener. Transm. Distrib. 10(13), 3127–3134 (2016)

    Article  Google Scholar 

  4. Iman Gerami Moghaddam, M. Saniei, E. Mashhour, A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building. Energy 94, 157–170 (2016)

    Article  Google Scholar 

  5. K. Orehounig, R. Evins, V. Dorer, Integration of decentralized energy systems in neighbourhoods using the energy hub approach. Appl. Energy 154, 277–289 (2015)

    Article  Google Scholar 

  6. Hongming Yang et al., Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response. Appl. Energy 167, 353–365 (2016)

    Article  Google Scholar 

  7. Farhad Kamyab, S. Bahrami, Efficient operation of energy hubs in time-of-use and dynamic pricing electricity markets. Energy 106(1), 343–355 (2016)

    Article  Google Scholar 

  8. Aras Sheikhi et al., Integrated demand side management game in smart energy hubs. IEEE Trans. Smart Grid 6(2), 675–683 (2015)

    Article  Google Scholar 

  9. Shahab Bahrami, A. Sheikhi, From demand response in smart grid toward integrated demand response in smart energy hub. IEEE Trans. Smart Grid 7(2), 650–658 (2016)

    Google Scholar 

  10. Aras Sheikhi, S. Bahrami, A.M. Ranjbar, An autonomous demand response program for electricity and natural gas networks in smart energy hubs. Energy 89, 490–499 (2015)

    Article  Google Scholar 

  11. Arsalan Najafi et al., Medium-term energy hub management subject to electricity price and wind uncertainty. Appl. Energy 168, 418–433 (2016)

    Article  Google Scholar 

  12. Samaneh Pazouki, M.R. Haghifam, Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty. Int. J. Electr. Power Energy Syst. 80, 219–239 (2016)

    Article  Google Scholar 

  13. Samaneh Pazouki, M.R. Haghifam, A. Moser, Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response. Int. J. Electr. Power Energy Syst. 61, 335–345 (2014)

    Article  Google Scholar 

  14. A. Vaccaro, C. Pisani, A.F. Zobaa, Affine arithmetic-based methodology for energy hub operation-scheduling in the presence of data uncertainty. Gener. Transm. Distrib. Iet 9(13), 1544–1552 (2015)

    Article  Google Scholar 

  15. A. Najafi, et al. A stochastic bilevel model for the energy hub manager problem. IEEE Trans. Smart Grid PP(99):1--1 (2016)

    Google Scholar 

  16. Azadeh Maroufmashat et al., Modeling and optimization of a network of energy hubs to improve economic and emission considerations. Energy 93, 2546–2558 (2015)

    Article  Google Scholar 

  17. Xiaping Zhang et al., Optimal expansion planning of energy hub with multiple energy infrastructures. IEEE Trans. Smart Grid 6(5), 2302–2311 (2015)

    Article  Google Scholar 

  18. M. Salimi et al., Optimal planning of energy hubs in interconnected energy systems: a case study for natural gas and electricity. Generation Transm. Distrib. Iet 9(8), 695–707 (2015)

    Article  Google Scholar 

  19. Amin Shabanpour-Haghighi, A.R. Seifi, Energy flow optimization in multicarrier systems. IEEE Trans. Ind. Inf. 11(5), 1067–1077 (2015)

    Article  Google Scholar 

  20. Boran Morvaj, R. Evins, J. Carmeliet, Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout. Energy 116, 619–636 (2016)

    Article  Google Scholar 

  21. A. Tuladhar, H. Jin, T. Unger, K. Mauch, Parallel operation of single phase inverter modules with no control interconnections, in Proceedings of IEEE-APEC’97 Conference, 23–27, vol. 1 (1997), pp. 94–100

    Google Scholar 

  22. M.N. Marwali, J.-W. Jung, A. Keyhani, Stability analysis of load sharing control for distributed generation systems. IEEE Trans. Energy Convers. 22(3), 737–745 (2007)

    Article  Google Scholar 

  23. J.M. Guerrero, J. Matas, L. García de Vicuña, M. Castilla, J. Miret, Wireless-control strategy for parallel operation of distributed-generation inverters. IEEE Trans. Ind. Electron. 53(5), 1461–1470 (2006)

    Article  Google Scholar 

  24. J. He, Y.W. Li, Analysis, design, and implementation of virtual impedance for power electronics interfaced distributed generation. IEEE Trans. Ind. Appl. 47(6), 2525–2538 (2011)

    Article  Google Scholar 

  25. Q.-C. Zhong, Robust droop controller for accurate proportional load sharing among inverters operated in parallel. IEEE Trans. Ind. Electron. 60(4), 1281–1290 (2013)

    Article  Google Scholar 

  26. Y. Shi et al., The parallel multi-inverter system based on the voltage-type droop control method. IEEE J. Emerg. Sel. Topics Power Electron. 4.4(2016):1332–1341

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Qiuye Sun

Authors
  1. Qiuye Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qiuye Sun .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Sun, Q. (2019). The Model and Energy Measurement of Energy Hub. In: Energy Internet and We-Energy. Renewable Energy Sources & Energy Storage. Springer, Singapore. https://doi.org/10.1007/978-981-13-0523-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0523-8_7

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0522-1

  • Online ISBN: 978-981-13-0523-8

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation