Skip to main content

Load Tracking Control of Air Conditioners Based on a Second-Order Equivalent Thermal Parameter Model

  • Conference paper
  • First Online:
Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control (PMF 2019, PMF 2021)

Abstract

Considering an energy crisis and serious environmental problems, demand respond (DR) programs, including price-based DR and incentive-based DR, are designed to improve the stability of the power system. Direct load control (DLC) is one of effective incentive-based control methods relying on directly triggering the load reduction, which is relatively easy and inexpensive to implement. Due to the large electricity consumption and good heat storage capability, air conditioners are the important demand response resources. The accurate thermodynamic model of air conditioner can directly influence the effectiveness of control strategy. In this paper, an air conditioner control method based on the second-order equivalent thermal parameter (ETP) model is proposed, and the load-shifting potential by the DLC of air conditioning load is discussed. The reference signal is calculated for the air conditioners based on the peak-load-shifting requirement. Then an adaptive hill climbing (AHC) control method is designed for tracking the air conditioning load to the reference signal. The simulation results indicate that the proposed approach can achieve a guaranteed load curtailment by the DLC of the air conditioning load.

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 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
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. Aketi P, Sen S (2014) Modeling demand response and economic impact of advanced and smart metering. Energy Systems 5(3):583–606

    Article  Google Scholar 

  2. Zhao Z, Lee WC, Shin Y et al (2013) An optimal power scheduling method for demand response in home energy management system. IEEE Transactions on Smart Grid 4(3):1391–1400

    Article  Google Scholar 

  3. Bie Z, Hu G, Xie H et al (2014) Optimal dispatch for wind power integrated systems considering demand response. Autom Electr Power Syst 38(13):115–120. https://doi.org/10.7500/aeps20131014001

    Article  Google Scholar 

  4. Belov A, Vasenev A, Havinga PJM et al (2016) Reducing user discomfort in direct load control of domestic water heaters. Innov Smart Grid Technol Asia

    Google Scholar 

  5. Yunwei SHEN, Yang LI, Ciwei GAO et al (2017) Application of demand response in ancillary service market. Autom Electr Power Syst 41(22):151–161. https://doi.org/10.7500/AEPS20170302007

    Article  Google Scholar 

  6. Lu N, Katipamula S (2005) Control strategies of thermostatically controlled appliances in a competitive electricity market. Power Eng Soc Gener Meet. IEEE 2005

    Google Scholar 

  7. Wang B, Zhu F, Ji W et al (2016) Load cutting potential modeling of central air-conditioning and analysis on influencing factors. Autom Electr Power Syst 40(19):44–52. https://doi.org/10.7500/aeps20150917007

    Article  Google Scholar 

  8. Wai CH, Beaudin M, Zareipour H, Schellenberg A, Lu N (2015) Cooling devices in demand response: a comparison of control methods. IEEE Trans Smart Grid 6(1):249–260

    Article  Google Scholar 

  9. Lu N, Chassin DP (2004) A state queueing model of thermostatically controlled appliances. In Proceedings of the IEEE PES Power Systems Conference Exposure, New York, NY, USA, pp 725–733

    Google Scholar 

  10. Perfumo C, Kofman E, Braslavsky JH, Ward JK (2012) Load management: model-based control of aggregate power for populations of thermostatically controlled loads. Energy Convers Manag 55(3):36–48

    Article  Google Scholar 

  11. Bashash S, Fathy HK (2011) Modeling and control insights into demand-side energy management through setpoint control of thermostatic loads. American Control Conference

    Google Scholar 

  12. Ning L (2012) An evaluation of the HVAC load potential for providing load balancing service. IEEE Trans Smart Grid 3(3):1263–1270

    Article  Google Scholar 

  13. Callaway DS (2009) Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy. Energy Convers Manag 50(5):1389–1400

    Article  Google Scholar 

  14. Ning L, Yu Z (2013) Design considerations of a centralized load controller using thermostatically controlled appliances for continuous regulation reserves. IEEE Trans Smart Grid 4(2):914–921

    Article  Google Scholar 

  15. Katipamula S, Lu N (2006) Evaluation of residential HVAC control strategies for demand response programs. ASHRAE Trans 112(4):535–546

    Google Scholar 

  16. Zhang W, Lian J, Chang CY et al (2013) Aggregated modeling and control of air conditioning loads for demand response. IEEE Trans Power Syst 28(4):4655–4664

    Article  Google Scholar 

  17. Pourmousavi SA, Nehrir MH (2011) Demand response for smart microgrid: Initial results. Innov Smart Grid Technol

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Qing Bao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, T., Liu, X., Zhou, L., Sun, B., Wu, M., Bao, YQ. (2020). Load Tracking Control of Air Conditioners Based on a Second-Order Equivalent Thermal Parameter Model. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. PMF PMF 2019 2021. Lecture Notes in Electrical Engineering, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-13-9779-0_84

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-9779-0_84

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9778-3

  • Online ISBN: 978-981-13-9779-0

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics