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Temperature Regulation Strategy of Heterogeneous Air Conditioning Loads for Renewable Energy Consumption

Author

Listed:
  • Shu Zhang

    (School of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Liping Zhou

    (School of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Dejin Fan

    (Suzhou Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Suzhou 215004, China)

  • Jie Tang

    (Sichuan Vocational and Technical College of Communications, Chengdu 611130, China)

Abstract

In a power system with a high proportion of renewable energy, sudden increases in wind power or photovoltaic output can lead to huge challenges, such as difficulties in accommodating excess renewable energy and imbalances between supply and demand on the grid. As an important adjustable resource on the demand side, air conditioning load is a flexible load for realizing output consumption. In this paper, a heterogeneous air conditioning load regulation strategy for renewable energy consumption is proposed. Each air conditioning load regulation quantity is obtained based on the day-ahead dispatching mode. Then, the temperature setting value, rated power, and duty cycle are selected as the indexes. The load regulation sequence is obtained by the entropy weight method. Finally, the load regulation time of each air conditioning load is obtained based on the constraint of the quantity of loads during the possible adjustment time. The simulation analysis shows that the temperature regulation strategy presented in this paper can effectively reduce the power fluctuations of air conditioning loads, while ensuring that users with lower temperature settings are selected in the adjustment process.

Suggested Citation

  • Shu Zhang & Liping Zhou & Dejin Fan & Jie Tang, 2023. "Temperature Regulation Strategy of Heterogeneous Air Conditioning Loads for Renewable Energy Consumption," Energies, MDPI, vol. 16(12), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4705-:d:1170991
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    References listed on IDEAS

    as
    1. Rama Curiel, José Adrián & Thakur, Jagruti, 2022. "A novel approach for Direct Load Control of residential air conditioners for Demand Side Management in developing regions," Energy, Elsevier, vol. 258(C).
    2. Kleidaras, Alexandros & Kiprakis, Aristides E. & Thompson, John S., 2018. "Human in the loop heterogeneous modelling of thermostatically controlled loads for demand side management studies," Energy, Elsevier, vol. 145(C), pages 754-769.
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