Skip to main content

A Three-Level Framwork for Utilizing the Demand Response to Improve the Operation of the Integrated Energy Systems

  • Chapter
  • First Online:
  • 553 Accesses

Abstract

The electricity output of combined heat and power (CHP) units is constrained by their heat output corresponding to customers' heat demand, which makes it difficult for the CHP units to frequently adjust their electricity output. Therefore, additional balancing power is required to integrate the variable wind power in the CHP-based heat and electricity integrated energy system (HE-IES). This chapter expands the demand response (DR) concept to the HE-IES. A comprehensive DR strategy combining energy substitution and load shifting is first developed to exploit the demand flexibility of smart buildings. Besides electric balancing power, heat balancing power is also provided to relax the production constrains of CHP units. Moreover, a real-time DR exchange (DRX) market is developed where the building aggregators are stimulated to adjust buildings' energy consumption behaviors and provide the required balancing power. Compared with the existing day-ahead DRX market, the real-time DRX market can balance the very short-term wind power fluctuation and reduce price spikes. Additionally, a novel optimum feasible region method is proposed to achieve the fast clearing of the DRX market to meet the higher requirement for clearing speed in the real-time market. Simulation results verify the advantages of the proposed technique.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
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

Learn about institutional subscriptions

References

  1. G. Streckienė, V. Martinaitis, A.N. Andersen, J. Katz, Feasibility of CHP-plants with thermal stores in the German spot market. Appl. Energy 86, 2308–2316 (2009)

    Article  Google Scholar 

  2. P.F. Bach, Towards 50% wind electricity in Denmark: dilemmas and challenges. Eur. Phys. J. Plus 131, 1–12 (2016)

    Article  Google Scholar 

  3. X. Lu, M.B. McElroy, W. Peng, S. Liu, C.P. Nielsen, H. Wang, Challenges faced by China compared with the US in developing wind power. Nat. Energy 1, 16061 (2016)

    Article  Google Scholar 

  4. M.G. Nielsen, J.M. Morales, M. Zugno, T.E. Pedersen, H. Madsen, Economic valuation of heat pumps and electric boilers in the Danish energy system. Appl. Energy 167, 189–200 (2015)

    Article  Google Scholar 

  5. X. Lu, M.B. Mcelroy, W. Peng, S. Liu, C.P. Nielsen, H. Wang, Challenges Faced by China Compared with the US in Developing Wind Power, vol. 1 (2016), p. 16061

    Article  Google Scholar 

  6. O. Erdinc, N.G. Paterakis, I.N. Pappi, A.G. Bakirtzis, J.P.S. Catalão, A new perspective for sizing of distributed generation and energy storage for smart households under demand response. Appl. Energy 143, 26–37 (2015)

    Article  Google Scholar 

  7. P.H. Shaikh, N.B.M. Nor, P. Nallagownden, I. Elamvazuthi, T. Ibrahim, A review on optimized control systems for building energy and comfort management of smart sustainable buildings. Renew. Sustain. Energy Rev. 34, 409–429 (2014)

    Article  Google Scholar 

  8. Y. Lin, P. Barooah, S. Meyn, T. Middelkoop, Experimental evaluation of frequency regulation from commercial building HVAC systems. IEEE Trans. Smart Grid 6, 776–783 (2015)

    Article  Google Scholar 

  9. C. Vivekananthan, Y. Mishra, G. Ledwich, F. Li, Demand response for residential appliances via customer reward scheme. IEEE Trans. Smart Grid 5, 809–820 (2014)

    Article  Google Scholar 

  10. E. Bilgin, M.C. Caramanis, I.C. Paschalidis, C.G. Cassandras, Provision of regulation service by smart buildings. IEEE Trans. Smart Grid 7, 1683–1693 (2017)

    Article  Google Scholar 

  11. D.T. Nguyen, M. Negnevitsky, M.D. Groot, Pool-based demand response exchange—concept and modeling. IEEE Trans. Power Syst. 26, 1677–1685 (2011)

    Article  Google Scholar 

  12. D.T. Nguyen, M. Negnevitsky, M.D. Groot, Walrasian market clearing for demand response exchange. IEEE Trans. Power Syst. 27, 535–544 (2012)

    Article  Google Scholar 

  13. H. Wu, M. Shahidehpour, A. Alabdulwahab, A. Abusorrah, Demand response exchange in the stochastic day-ahead scheduling with variable renewable generation. IEEE Trans. Sustain. Energy 6, 516–525 (2015)

    Article  Google Scholar 

  14. C. Shao, Y. Ding, P. Siano, Z. Lin, A framework for incorporating demand response of smart buildings into the integrated heat and electricity energy system. IEEE Trans. Ind. Electron. 66(2):1465-1475 (2019).

    Article  Google Scholar 

  15. M. Geidl, G. Andersson, Optimal power flow of multiple energy carriers. IEEE Trans. Power Syst. 22, 145–155 (2007)

    Article  Google Scholar 

  16. B. Daryanian, R.E. Bohn, R.D. Tabors, Optimal demand-side response to electricity spot prices for storage-type customers. IEEE Trans. Power Syst. 4, 897–903 (1989)

    Article  Google Scholar 

  17. P. Wang, J.Y. Huang, Y. Ding, P. Loh, L. Goel, Demand side load management of smart grids using intelligent trading/metering/billing system, in IEEE PES General Meeting (2010), pp. 1–6

    Google Scholar 

  18. R.C. Sonderegger, Dynamic Models of House Heating Based on Equivalent Thermal Parameters (1978)

    Google Scholar 

  19. X.S. Jiang, Z.X. Jing, Y.Z. Li, Q.H. Wu, W.H. Tang, Modelling and operation optimization of an integrated energy based direct district water-heating system. Energy 64, 375–388 (2013)

    Article  Google Scholar 

  20. Y. Ding, S. Pineda, P. Nyeng, J. Ostergaard, E.M. Larsen, Q. Wu, Real-time market concept architecture for EcoGrid EU—A prototype for European smart grids. IEEE Trans. Smart Grid 4, 2006–2016 (2013)

    Article  Google Scholar 

  21. Z. Li, W. Wu, J. Wang, B. Zhang, T. Zheng, Transmission-constrained unit commitment considering combined electricity and district heating networks. IEEE Trans. Sustain. Energy 7, 480–492 (2016)

    Article  Google Scholar 

  22. B. Awad, M. Chaudry, J. Wu, N. Jenkins, Integrated optimal power flow for electric power and heat in a MicroGrid, in International Conference and Exhibition on Electricity Distribution (2009), pp. 1–4

    Google Scholar 

  23. T. Orfanogianni, G. Gross, A general formulation for LMP evaluation. IEEE Trans. Power Syst. 22, 1163–1173 (2007)

    Article  Google Scholar 

  24. R. Jabr, A.H. Coonick, B.J. Cory, A primal-dual interior point method for optimal power flow dispatching. IEEE Power Eng. Rev. 22, 55 (2002)

    Article  Google Scholar 

  25. C. Wang, M.H. Nehrir, Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans. Power Syst. 19, 2068–2076 (2004)

    Article  Google Scholar 

  26. A. Shabanpour-Haghighi, A.R. Seifi, Simultaneous integrated optimal energy flow of electricity, gas, and heat. Energy Convers. Manag. 101, 579–591 (2015)

    Article  Google Scholar 

  27. L. Pedersen, Method for Load Modelling of Heat and Electricity Demand (2006)

    Google Scholar 

  28. H. Hui, Y. Ding, W. Liu, Y. Lin, Y. Song, Operating reserve evaluation of aggregated air conditioners. Appl. Energy 196, 218–228 (2017)

    Article  Google Scholar 

  29. Z. Pan, Q. Guo, H. Sun, Feasible region method based integrated heat and electricity dispatch considering building thermal inertia. Appl. Energy (2016)

    Google Scholar 

  30. T. Jónsson, P. Pinson, H. Madsen, On the market impact of wind energy forecasts. Energy Econ. 32, 313–320 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi Ding .

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

Ding, Y., Song, Y., Hui, H., Shao, C. (2019). A Three-Level Framwork for Utilizing the Demand Response to Improve the Operation of the Integrated Energy Systems. In: Integration of Air Conditioning and Heating into Modern Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-6420-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6420-4_7

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6419-8

  • Online ISBN: 978-981-13-6420-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics