Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events
The essence of the microgrid cyber-physical system (CPS) lies in the cyclical conversion of information flow and energy flow. Most of the existing coupling models are modeled with static networks and interface structures, in which the closed-loop data flow characteristic is not fully considered. It...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9330507/ |
| _version_ | 1818918792566145024 |
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| author | Xiaoyong Bo Xiaoyu Chen Huashun Li Yunchang Dong Zhaoyang Qu Lei Wang Yang Li |
| author_facet | Xiaoyong Bo Xiaoyu Chen Huashun Li Yunchang Dong Zhaoyang Qu Lei Wang Yang Li |
| author_sort | Xiaoyong Bo |
| collection | DOAJ |
| description | The essence of the microgrid cyber-physical system (CPS) lies in the cyclical conversion of information flow and energy flow. Most of the existing coupling models are modeled with static networks and interface structures, in which the closed-loop data flow characteristic is not fully considered. It is difficult for these models to accurately describe spatiotemporal deduction processes, such as microgrid CPS attack identification, risk propagation, safety assessment, defense control, and cascading failure. To address this problem, a modeling method for the coupling relations of microgrid CPS driven by hybrid spatiotemporal events is proposed in the present work. First, according to the topological correlation and coupling logic of the microgrid CPS, the cyclical conversion mechanism of information flow and energy flow is analyzed, and a microgrid CPS architecture with multi-agents as the core is constructed. Next, the spatiotemporal evolution characteristic of the CPS is described by hybrid automata, and the task coordination mechanism of the multi-agent CPS terminal is designed. On this basis, a discrete-continuous correlation and terminal structure characteristic representation method of the CPS based on heterogeneous multi-groups are then proposed. Finally, four spatiotemporal events, namely state perception, network communication, intelligent decision-making, and action control, are defined. Considering the constraints of the temporal conversion of information flow and energy flow, a microgrid CPS coupling model is established, the effectiveness of which is verified by simulating false data injection attack (FDIA) scenarios. |
| first_indexed | 2024-12-20T00:55:36Z |
| format | Article |
| id | doaj.art-5bfe43765f31426eac0cb85a164a6955 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T00:55:36Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5bfe43765f31426eac0cb85a164a69552022-12-21T19:59:08ZengIEEEIEEE Access2169-35362021-01-019196191963110.1109/ACCESS.2021.30534029330507Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal EventsXiaoyong Bo0https://orcid.org/0000-0002-5986-5928Xiaoyu Chen1Huashun Li2Yunchang Dong3https://orcid.org/0000-0002-5891-8370Zhaoyang Qu4https://orcid.org/0000-0001-7599-9531Lei Wang5https://orcid.org/0000-0003-2907-636XYang Li6https://orcid.org/0000-0002-6515-4567School of Electrical Engineering, Northeast Electric Power University, Jilin, ChinaState Grid Jilin Electric Power Company Ltd., Baishan Power Supply Company, Baishan, ChinaState Grid Jilin Electric Power Company Ltd., Jilin Power Supply Company, Jilin, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin, ChinaThe essence of the microgrid cyber-physical system (CPS) lies in the cyclical conversion of information flow and energy flow. Most of the existing coupling models are modeled with static networks and interface structures, in which the closed-loop data flow characteristic is not fully considered. It is difficult for these models to accurately describe spatiotemporal deduction processes, such as microgrid CPS attack identification, risk propagation, safety assessment, defense control, and cascading failure. To address this problem, a modeling method for the coupling relations of microgrid CPS driven by hybrid spatiotemporal events is proposed in the present work. First, according to the topological correlation and coupling logic of the microgrid CPS, the cyclical conversion mechanism of information flow and energy flow is analyzed, and a microgrid CPS architecture with multi-agents as the core is constructed. Next, the spatiotemporal evolution characteristic of the CPS is described by hybrid automata, and the task coordination mechanism of the multi-agent CPS terminal is designed. On this basis, a discrete-continuous correlation and terminal structure characteristic representation method of the CPS based on heterogeneous multi-groups are then proposed. Finally, four spatiotemporal events, namely state perception, network communication, intelligent decision-making, and action control, are defined. Considering the constraints of the temporal conversion of information flow and energy flow, a microgrid CPS coupling model is established, the effectiveness of which is verified by simulating false data injection attack (FDIA) scenarios.https://ieeexplore.ieee.org/document/9330507/Microgrid cyber-physical systemsspatiotemporal event-drivenmulti-agentcoupling modelingCPS terminal |
| spellingShingle | Xiaoyong Bo Xiaoyu Chen Huashun Li Yunchang Dong Zhaoyang Qu Lei Wang Yang Li Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events IEEE Access Microgrid cyber-physical systems spatiotemporal event-driven multi-agent coupling modeling CPS terminal |
| title | Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events |
| title_full | Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events |
| title_fullStr | Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events |
| title_full_unstemmed | Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events |
| title_short | Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events |
| title_sort | modeling method for the coupling relations of microgrid cyber physical systems driven by hybrid spatiotemporal events |
| topic | Microgrid cyber-physical systems spatiotemporal event-driven multi-agent coupling modeling CPS terminal |
| url | https://ieeexplore.ieee.org/document/9330507/ |
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