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Medium- and Long-Term Integrated Demand Response of Integrated Energy System Based on System Dynamics

Author

Listed:
  • Shuhui Ren

    (College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China)

  • Xun Dou

    (College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China)

  • Zhen Wang

    (College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China)

  • Jun Wang

    (College of Electrical Engineering and Control Science, Nanjing TECH University, Nanjing 211816, China)

  • Xiangyan Wang

    (China Electric Power Research Institute, Nanjing 210003, China)

Abstract

For the integrated energy system of coupling electrical, cool and heat energy and gas and other forms of energy, the medium- and long-term integrated demand response of flexible load, energy storage and electric vehicles and other demand side resources is studied. It is helpful to mine the potentials of demand response of various energy sources in the medium- and long-term, stimulate the flexibility of integrated energy system, and improve the efficiency of energy utilization. Firstly, based on system dynamics, the response mode of demand response resources is analyzed from different time dimensions, and the long-term, medium-term and short-term behaviors of users participating in integrated demand response are considered comprehensively. An integrated demand response model based on medium-and long-term time dimension is established. Then the integrated demand response model of integrated energy system scheduling and flexible load, energy storage and electric vehicles as the main participants is established to simulate the response income of users participating in the integrated demand response project, and to provide data sources for the medium- and long-term integrated demand response system dynamics model. Finally, an example is given to analyze the differences in response behaviors of flexible load, energy storage and electric vehicle users in different time dimensions under the conditions of policy subsidy, regional location and user energy preferences in different stages of the integrated energy system.

Suggested Citation

  • Shuhui Ren & Xun Dou & Zhen Wang & Jun Wang & Xiangyan Wang, 2020. "Medium- and Long-Term Integrated Demand Response of Integrated Energy System Based on System Dynamics," Energies, MDPI, vol. 13(3), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:710-:d:317415
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    References listed on IDEAS

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    Cited by:

    1. José D. Morcillo & Fabiola Angulo & Carlos J. Franco, 2020. "Analyzing the Hydroelectricity Variability on Power Markets from a System Dynamics and Dynamic Systems Perspective: Seasonality and ENSO Phenomenon," Energies, MDPI, vol. 13(9), pages 1-25, May.
    2. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
    3. Yang Wang & Yifan Wang & Zhenghui Zhao & Zhiquan Zhou & Zhihao Hou, 2023. "Multi-Timescale Optimal Operation Strategy for Renewable Energy Power Systems Based on Inertia Evaluation," Energies, MDPI, vol. 16(8), pages 1-15, April.

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