Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

A Distributed Coordinated Control Strategy for Large-scale Thermostatically Controlled Loads Considering User Comfort Constraints
Author:
Affiliation:

1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology, and School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;2.Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G11XW, U.K.

Fund Project:

This work was supported in part by the National Key Research and Development Program of China (No. 2023YFB2406600), the Joint Funds of the National Natural Science Foundation of China (No. U22A6007), and the National Science Fund for Excellent Young Scholars of China (No. 52222703).

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    Abstract:

    Thermostatically controlled loads (TCLs) on the demand side have been a vital energy resource in smart grids. To efficiently utilize the large-scale TCLs and enhance the flexibility of micro-community systems, this paper proposes a distributed coordinated control strategy based on the distributed model predictive control (MPC). To achieve the adaptive coordinated control among TCLs and consider user comfort constraints, a distributed dual-layer internal control strategy based on MPC is established on a scalable communication network. This strategy achieves the efficient utilization of TCLs in a distributed manner and notably improves the convergence speed through sparse network communication between neighbors. For external resource utilization of TCLs, a multi-timescale scheduling framework is proposed to realize the pre-allocation of electricity. Furthermore, the feasibility of the proposed distributed coordinated control strategy is confirmed through comparative case analysis.

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History
  • Received:April 24,2024
  • Revised:July 17,2024
  • Online: May 27,2025