A novel distributed control framework for thermostatically controlled loads cluster
Abstract Renewable energy is developing rapidly, and its intermittency and uncertainty pose a serious challenge to the grid’s regulation capability. Demand response, as a crucial means of integrating flexible load-side resources, has become a key technology in alleviating grid pressure. This paper f...
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| Format: | Article |
| Language: | English |
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Springer
2025-06-01
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| Series: | Discover Artificial Intelligence |
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| Online Access: | https://doi.org/10.1007/s44163-025-00368-9 |
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| _version_ | 1849329493940895744 |
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| author | Yiyan Zheng Zhenwei Yu Li Ding |
| author_facet | Yiyan Zheng Zhenwei Yu Li Ding |
| author_sort | Yiyan Zheng |
| collection | DOAJ |
| description | Abstract Renewable energy is developing rapidly, and its intermittency and uncertainty pose a serious challenge to the grid’s regulation capability. Demand response, as a crucial means of integrating flexible load-side resources, has become a key technology in alleviating grid pressure. This paper focuses on thermostatically controlled loads and proposes a novel distributed control framework. The framework decouples the load control loop by dividing the control process into a short distributed coordination phase and a long local tracking phase. This approach significantly reduces communication requirements of the load nodes. Through mathematical derivations, numerical simulations, and hardware-in-the-loop experiments, the theoretical feasibility and practical effectiveness of the proposed framework are validated. |
| format | Article |
| id | doaj-art-48f85a2ed55749d89b0485f2d8f3ffa0 |
| institution | Kabale University |
| issn | 2731-0809 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Artificial Intelligence |
| spelling | doaj-art-48f85a2ed55749d89b0485f2d8f3ffa02025-08-20T03:47:16ZengSpringerDiscover Artificial Intelligence2731-08092025-06-015111810.1007/s44163-025-00368-9A novel distributed control framework for thermostatically controlled loads clusterYiyan Zheng0Zhenwei Yu1Li Ding2School of Electrical Engineering and Automation, Wuhan UniversitySchool of Electrical Engineering and Automation, Wuhan UniversitySchool of Electrical Engineering and Automation, Wuhan UniversityAbstract Renewable energy is developing rapidly, and its intermittency and uncertainty pose a serious challenge to the grid’s regulation capability. Demand response, as a crucial means of integrating flexible load-side resources, has become a key technology in alleviating grid pressure. This paper focuses on thermostatically controlled loads and proposes a novel distributed control framework. The framework decouples the load control loop by dividing the control process into a short distributed coordination phase and a long local tracking phase. This approach significantly reduces communication requirements of the load nodes. Through mathematical derivations, numerical simulations, and hardware-in-the-loop experiments, the theoretical feasibility and practical effectiveness of the proposed framework are validated.https://doi.org/10.1007/s44163-025-00368-9Thermostatically controlled loadsDistributed controlComfort level sharingPrescribed-time consensus |
| spellingShingle | Yiyan Zheng Zhenwei Yu Li Ding A novel distributed control framework for thermostatically controlled loads cluster Discover Artificial Intelligence Thermostatically controlled loads Distributed control Comfort level sharing Prescribed-time consensus |
| title | A novel distributed control framework for thermostatically controlled loads cluster |
| title_full | A novel distributed control framework for thermostatically controlled loads cluster |
| title_fullStr | A novel distributed control framework for thermostatically controlled loads cluster |
| title_full_unstemmed | A novel distributed control framework for thermostatically controlled loads cluster |
| title_short | A novel distributed control framework for thermostatically controlled loads cluster |
| title_sort | novel distributed control framework for thermostatically controlled loads cluster |
| topic | Thermostatically controlled loads Distributed control Comfort level sharing Prescribed-time consensus |
| url | https://doi.org/10.1007/s44163-025-00368-9 |
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