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Research on Strategies for Air-Source Heat Pump Load Aggregation to Participate in Multi-Scenario Demand Response

Author

Listed:
  • Haiping Liang

    (Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Xin Xie

    (Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Meng Liu

    (Electric Power Research Institute of State Grid Shandong Electric Power Company, Jinan 250003, China)

  • Shengsuo Niu

    (Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China)

  • Haifeng Su

    (Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

Air-source heat pumps (ASHPs), functioning as thermally controlled loads, possess significant adjustable capabilities and controllability when aggregated, establishing them as premium resources for demand-response engagement. This paper proposes a control strategy for the aggregation of ASHP loads to participate in demand response across multiple scenarios, framed within a three-tier architecture: electric power system, Load Aggregator (LA), and thermal load. Load Aggregators, considering the user-comfort temperature ranges and the thermal storage characteristics of buildings, aim to minimize heating costs through time-of-use electricity pricing, while assessing the adjustability of the load. Upon receiving control directives from the power system’s dispatch department, the strategy allocates load adjustments by considering user comfort and system regulatory needs, thereby addressing issues like aggregated power oscillations and significant rebound loads. The effectiveness of the proposed strategy is corroborated through simulation, demonstrating its potential to enhance demand-response participation and ameliorate associated power stability challenges.

Suggested Citation

  • Haiping Liang & Xin Xie & Meng Liu & Shengsuo Niu & Haifeng Su, 2024. "Research on Strategies for Air-Source Heat Pump Load Aggregation to Participate in Multi-Scenario Demand Response," Energies, MDPI, vol. 17(11), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2471-:d:1399171
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    References listed on IDEAS

    as
    1. Wang, Sen & Li, Fengting & Zhang, Gaohang & Yin, Chunya, 2023. "Analysis of energy storage demand for peak shaving and frequency regulation of power systems with high penetration of renewable energy," Energy, Elsevier, vol. 267(C).
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