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A hybrid control approach for regulating frequency through demand response

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  • Malik, Anam
  • Ravishankar, Jayashri

Abstract

Many countries worldwide have set ambitious targets for integrating renewable energy in their power network. Where renewable energy reduces carbon footprint, its reduced inertia makes the system susceptible to frequency deviation after disturbance. This paper presents a novel hybrid frequency regulation strategy by using domestic refrigerators as control loads. The proposed strategy uses the idea of Cooperative Home Energy Management system (CoHEM) at distribution transformers and exploits the best of both centralized and decentralized control systems. A hybrid power network setup with both diesel and wind generation is designed in Simulink so as to study the frequency profile of the system after disturbance. The effectiveness of the strategy is validated without control and with centralized control under four different scenarios. Results when compared to without controller, suggest that the proposed controller exhibits less frequency error and is able to regulate frequency faster. The results were in par with the centralized controller; however, the proposed architecture is anticipated to save time, technical cost and computational burden over a centralized controller.

Suggested Citation

  • Malik, Anam & Ravishankar, Jayashri, 2018. "A hybrid control approach for regulating frequency through demand response," Applied Energy, Elsevier, vol. 210(C), pages 1347-1362.
    • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:1347-1362
    DOI: 10.1016/j.apenergy.2017.08.160
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    1. Martin Almenta, M. & Morrow, D.J. & Best, R.J. & Fox, B. & Foley, A.M., 2016. "Domestic fridge-freezer load aggregation to support ancillary services," Renewable Energy, Elsevier, vol. 87(P2), pages 954-964.
    2. Teng, Fei & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Zeng, Pingliang & Strbac, Goran, 2017. "Challenges on primary frequency control and potential solution from EVs in the future GB electricity system," Applied Energy, Elsevier, vol. 194(C), pages 353-362.
    3. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    4. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2015. "Value of flexible electric vehicles in providing spinning reserve services," Applied Energy, Elsevier, vol. 157(C), pages 60-74.
    5. Cheng, Meng & Sami, Saif Sabah & Wu, Jianzhong, 2017. "Benefits of using virtual energy storage system for power system frequency response," Applied Energy, Elsevier, vol. 194(C), pages 376-385.
    6. Dehghanpour, Kaveh & Afsharnia, Saeed, 2015. "Electrical demand side contribution to frequency control in power systems: a review on technical aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1267-1276.
    7. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2016. "Low carbon technologies as providers of operational flexibility in future power systems," Applied Energy, Elsevier, vol. 168(C), pages 724-738.
    8. Lakshmanan, Venkatachalam & Marinelli, Mattia & Hu, Junjie & Bindner, Henrik W., 2016. "Provision of secondary frequency control via demand response activation on thermostatically controlled loads: Solutions and experiences from Denmark," Applied Energy, Elsevier, vol. 173(C), pages 470-480.
    9. Jaguemont, J. & Boulon, L. & Dubé, Y., 2016. "A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures," Applied Energy, Elsevier, vol. 164(C), pages 99-114.
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