Consensus control for distributed power tracking by device-level digital twin agents
Abstract: The development of electronics and software has resulted in the ability of twin agents to act as digital counterparts for the optimization, control, and monitoring of real power grids. When increasing regulation resources are connected to the power grid, is challenging for independent syst...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1133516/full |
| _version_ | 1811161638166855680 |
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| author | Yanan Wang Zhimin Guo Yuhang Pang Kaiqiang Gao Jian Zhao |
| author_facet | Yanan Wang Zhimin Guo Yuhang Pang Kaiqiang Gao Jian Zhao |
| author_sort | Yanan Wang |
| collection | DOAJ |
| description | Abstract: The development of electronics and software has resulted in the ability of twin agents to act as digital counterparts for the optimization, control, and monitoring of real power grids. When increasing regulation resources are connected to the power grid, is challenging for independent system operators to use a centralized controller to achieve power tracking and balance. Therefore, the present study applied device-level-based digital twins to monitor physical signals for computer-aided design for power tracking. Moreover, a consensus control-based distributed power tracking system is proposed for the physical-model simulation of the power grid. A communication network was also designed for realistic signal exchange. The combination of the proposed distributed power tracking method and communication network can accelerate computational efficiency and protect the privacy of the regulation resources. Finally, the performance of the proposed distributed power tracking method is validated in a simulation system with 10 regulation resources. |
| first_indexed | 2024-04-10T06:17:35Z |
| format | Article |
| id | doaj.art-a82e53572d674de29fa3c616a7a56245 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T06:17:35Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-a82e53572d674de29fa3c616a7a562452023-03-02T05:49:09ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-03-011110.3389/fenrg.2023.11335161133516Consensus control for distributed power tracking by device-level digital twin agentsYanan Wang0Zhimin Guo1Yuhang Pang2Kaiqiang Gao3Jian Zhao4China Electric Power Research Institute, Beijing, ChinaState Grid Henan Electric Power Research Institute, Zhengzhou, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaAbstract: The development of electronics and software has resulted in the ability of twin agents to act as digital counterparts for the optimization, control, and monitoring of real power grids. When increasing regulation resources are connected to the power grid, is challenging for independent system operators to use a centralized controller to achieve power tracking and balance. Therefore, the present study applied device-level-based digital twins to monitor physical signals for computer-aided design for power tracking. Moreover, a consensus control-based distributed power tracking system is proposed for the physical-model simulation of the power grid. A communication network was also designed for realistic signal exchange. The combination of the proposed distributed power tracking method and communication network can accelerate computational efficiency and protect the privacy of the regulation resources. Finally, the performance of the proposed distributed power tracking method is validated in a simulation system with 10 regulation resources.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1133516/fulldigital twinsconsensus controldistributed optimizationpower trackingphysical-model simulation |
| spellingShingle | Yanan Wang Zhimin Guo Yuhang Pang Kaiqiang Gao Jian Zhao Consensus control for distributed power tracking by device-level digital twin agents Frontiers in Energy Research digital twins consensus control distributed optimization power tracking physical-model simulation |
| title | Consensus control for distributed power tracking by device-level digital twin agents |
| title_full | Consensus control for distributed power tracking by device-level digital twin agents |
| title_fullStr | Consensus control for distributed power tracking by device-level digital twin agents |
| title_full_unstemmed | Consensus control for distributed power tracking by device-level digital twin agents |
| title_short | Consensus control for distributed power tracking by device-level digital twin agents |
| title_sort | consensus control for distributed power tracking by device level digital twin agents |
| topic | digital twins consensus control distributed optimization power tracking physical-model simulation |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1133516/full |
| work_keys_str_mv | AT yananwang consensuscontrolfordistributedpowertrackingbydeviceleveldigitaltwinagents AT zhiminguo consensuscontrolfordistributedpowertrackingbydeviceleveldigitaltwinagents AT yuhangpang consensuscontrolfordistributedpowertrackingbydeviceleveldigitaltwinagents AT kaiqianggao consensuscontrolfordistributedpowertrackingbydeviceleveldigitaltwinagents AT jianzhao consensuscontrolfordistributedpowertrackingbydeviceleveldigitaltwinagents |