Skip to main content

Inverter Air Conditioner Aggregation for Providing Frequency Regulation Service

  • Chapter
  • First Online:
Book cover Integration of Air Conditioning and Heating into Modern Power Systems

Abstract

The frequency regulation service (FRS) is playing an increasingly important role in maintaining the power balance between generation and consumption. Moreover, the recent progress in information and communication technologies has enabled residential customers to participate in FRS through direct control over appliances, such as inverter air conditioners (ACs), whose market share is growing rapidly and has made up a large fraction of electricity consumption. Inverter ACs can change compressor’s speed continuously to adjust operating power and provide FRS for the system operation. In this chapter, the thermal model of a room and the electrical model of an inverter AC for providing FRS are developed. The model of the inverter AC is equivalent to a generator. In this manner, the aggregation of inverter ACs can be controlled just as traditional generators. Besides, a stochastic allocation method of the regulation sequence among inverter ACs is proposed to reduce the effect of FRS on customers. A hybrid control strategy by taking into account the dead band control and the hysteresis control is also developed to reduce the frequency fluctuations of power systems. The effectiveness of the proposed models and control strategies are illustrated in the numerical studies.

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 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

Institutional subscriptions

References

  1. T. Strasser, F. Andrén, J. Kathan, C. Cecati, C. Buccella, P. Siano, P. Leitao, G. Zhabelova, V. Vyatkin, P. Vrba, V. Mařík, A review of architectures and concepts for intelligence in future electric energy systems. IEEE Trans. Ind. Electron. 62(4), 2424–2438 (2015)

    Article  Google Scholar 

  2. Z. Li, X. Wu, K. Zhuang, L. Wang, Y. Miao, B. Li, Analysis and reflection on frequncy characteristics of East China Grid after bipolar locking of 9.19 Jinping-Sunan DC transimission line. Autom. Electr. Power Syst. 41(7), 149–155 (2017)

    Google Scholar 

  3. Administrative investigation report on the power failure 815, Executive Yuan, Taiwan, Republic of China, Technical Report (2017), http://www.ey.gov.tw

  4. Y.G. Rebours, D.S. Kirschen, M. Trotignon, S. Rossignol, A survey of frequency and voltage control ancillary services—Part I: technical features. IEEE Trans. Power Syst. 22(1), 350–357 (2007)

    Article  Google Scholar 

  5. 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 

  6. P. Siano, Demand response and smart grids—a survey. Renew. Sustain. Energy Rev. 30, 461–478 (2014)

    Article  Google Scholar 

  7. Y. Wang, N. Zhang, C. Kang, D.S. Kirschen, J. Yang, Q. Xia, Standardized matrix modeling of multiple energy systems. IEEE Trans. Smart Grid (2017), https://doi.org/10.1109/tsg.2017.2737662. (in press)

    Article  Google Scholar 

  8. P. Palensky, D. Dietmar, Demand side management: Demand response, intelligent energy systems, and smart loads. IEEE Trans. Ind. Inform. 7(3), 381–388 (2011)

    Article  Google Scholar 

  9. J. Nanda, S. Mishra, L.C. Saikia, Maiden application of bacterial foraging-based optimization technique in multiarea automatic generation control. IEEE Trans. Power Syst. 24(2), 602–609 (2009)

    Article  Google Scholar 

  10. P. Siano, D. Sarno, Assessing the benefits of residential demand response in a real time distribution energy market. Appl. Energy 161(7), 533–551 (2016)

    Article  Google Scholar 

  11. J. Wang, H. Zhong, C. Tan, X. Chen, R. Rajagopal, Q. Xia, C. Kang, Economic benefits of integrating solar-powered heat pumps into a CHP system. IEEE Trans. Sust. Energy (2018), https://doi.org/10.1109/tste.2018.2810137. (in press)

    Article  Google Scholar 

  12. H. Liu, Z. Hu, Y. Song, J. Wang, X. Xie, Vehicle-to-grid control for supplementary frequency regulation considering charging demands. IEEE Trans. Power Syst. 30(6), 3110–3119 (2015)

    Article  Google Scholar 

  13. A. Molina-Garcia, F. Bouffard, D.S. Kirschen, Decentralized demand-side contribution to primary frequency control. IEEE Trans. Power Syst. 26(1), 411–419 (2010)

    Article  Google Scholar 

  14. G. Benysek, J. Bojarski, R. Smolenski, M. Jarnut, S. Werminski, Application of stochastic decentralized active demand response (DADR) system for load frequency control. IEEE Trans. Smart Grid 99, 1–8 (2016)

    Google Scholar 

  15. Y. Bao, Y. Li, Y. Hong, B. Wang, Design of a hybrid hierarchical demand response control scheme for the frequency control. IET Gener. Transm. Distrib. 9(15), 2303–2310 (2015)

    Article  Google Scholar 

  16. S. Weckx, R. D’Hulst, J. Driesen, Primary and secondary frequency support by a multi-agent demand control system. IEEE Trans. Power Syst. 30(3), 1394–1404 (2014)

    Article  Google Scholar 

  17. M. Isaac, D.P.V. Vuuren, Modeling global residential sector energy demand for heating and air conditioning in the context of climate change. Energy Policy 37(2), 507–521 (2009)

    Article  Google Scholar 

  18. Air conditioning consumes one third of peak electric consumption in the summer, Science Daily, Technical Report (2012), https://www.sciencedaily.com

  19. AC makers betting on consumers’ shift to inverter models, BusinessLine, Technical Report (2017), http://www.thehindubusinessline.com

  20. Analysis on inverter air conditioners in China in Oct. 2015, Information network of Chinese business, Technical Report (2015), http://www.askci.com

  21. What is Inverter Technology AC, Bijli Bachao, Technical Report (2017), https://www.bijlibachao.com

  22. M. Song, C. Gao, H. Yan, J. Yang, Thermal battery modeling of inverter air conditioning for demand response. IEEE Trans. Smart Grid 99, 1–13 (2017)

    Google Scholar 

  23. S. Shao, W. Shi, X. Li, H. Chen, Performance representation of variable-speed compressor for inverter air conditioners based on experimental data. Int. J. Refrig. 27(8), 805–815 (2004)

    Article  Google Scholar 

  24. W. Zhang, J. Lian, C.Y. Chang, K. Kalsi, Aggregated modeling and control of air conditioning loads for demand response. IEEE Trans. Power Syst. 28(4), 4655–4664 (2013)

    Article  Google Scholar 

  25. N. Mahdavi, J. H. Braslavsky, C. Perfumo, Mapping the effect of ambient temperature on the power demand of populations of air conditioners. IEEE Trans. Smart Grid 99, 1–10 (2016)

    Google Scholar 

  26. N. Lu, An evaluation of the HVAC load potential for providing load balancing service. IEEE Trans. Smart Grid 3(3), 1263–1270 (2012)

    Article  Google Scholar 

  27. J. Grainger, W.D. Stevenson, Power System Analysis, 1st edn. (McGraw-Hill, Michigan, U.S.A, 1994)

    Google Scholar 

  28. Z. Han, Power System Analysis, 5th edn. (Zhejiang University Press, Hangzhou, China, 2013)

    Google Scholar 

  29. H. Hui, Y. Ding, M. Zheng, Equivalent modeling of inverter air conditioners for providing frequency regulation service. IEEE Trans. Ind. Electron. 66(2):1413-1423 (2019).

    Article  Google Scholar 

  30. J. Wang, C. Zhang, Y. Jing, D. An, Study of neural network PID control in variable-frequency air-conditioning system, in IEEE International Conference on Control and Automation, Guangzhou, China, 30 May–1 June, 2007, pp. 317–322

    Google Scholar 

  31. Continental Europe Operation Handbook, Policy 1-Load Frequency Control and Performance, entsoe, Technical Report (2018), https://www.entsoe.eu/fileadmin/user_upload/_library/publications/entsoe/Operation_Handbook/Policy_1_final.pdf

  32. Continental Europe Operation Handbook, Appendix 1-Load Frequency Control and Performance, entsoe, Technical Report (2018), https://www.entsoe.eu/fileadmin/user_upload/_library/publications/entsoe/Operation_Handbook/Policy_1_Appendix%20_final.pdf

  33. Frequency Response Requirements-Phase 1 (ER16-1483), California ISO, 21 April, 2016, https://www.caiso.com/Documents/Apr21_2016_FrequencyResponseRequirements_Phase1_ER16-1483.pdf

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). Inverter Air Conditioner Aggregation for Providing Frequency Regulation Service. In: Integration of Air Conditioning and Heating into Modern Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-6420-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6420-4_5

  • 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