Distributed Fixed-Time Optimal Energy Management for Microgrids Based on a Dynamic Event-Triggered Mechanism

The article investigates the optimal energy management (OEM) problem for microgrids. To figure out the problem in fixed time and alleviate communication load with limited resources, this article devises a novel fixed-time stability lemma and an event-triggered (ET) fixed-time distributed OEM approach. Using Lyapunov stability theory, the distributed approach has been proven to converge in fixed time and the upper bound on convergence time can be derived without dependence on the initial states. The dynamic ET method is raised to dynamically adjust the triggering threshold and reduce communication redundancy. In addition, Zeno behavior is avoided. Simulations are given to show the effectiveness and advantage of the designed distributed OEM method.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2024-11-20
DOI
https://doi.org/10.1109/jas.2024.124686
Citations
20
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
6.57

Funders

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article

Distributed Fixed-Time Optimal Energy Management for Microgrids Based on a Dynamic Event-Triggered Mechanism

Feisheng Yang, Xiaohong Guan, Jiaming Liu
20 citations
IEEE/CAA Journal of Automatica Sinica
Microgrid Control and Optimization
6.57
article

Distributed Fixed-Time Optimal Energy Management for Microgrids Based on a Dynamic Event-Triggered Mechanism

Feisheng Yang, Xiaohong Guan, Jiaming Liu
article en
20 citations

Abstract

The article investigates the optimal energy management (OEM) problem for microgrids. To figure out the problem in fixed time and alleviate communication load with limited resources, this article devises a novel fixed-time stability lemma and an event-triggered (ET) fixed-time distributed OEM approach. Using Lyapunov stability theory, the distributed approach has been proven to converge in fixed time and the upper bound on convergence time can be derived without dependence on the initial states. The dynamic ET method is raised to dynamically adjust the triggering threshold and reduce communication redundancy. In addition, Zeno behavior is avoided. Simulations are given to show the effectiveness and advantage of the designed distributed OEM method.

IEEE/CAA Journal of Automatica SinicaVol. 11(12)
Northwestern Polytechnical University (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Aeronautical Science Foundation of China, Natural Science Foundation of Chongqing
Affordable and clean energy
Openalex Percentile: Top 3%
Microgrid Control and Optimization
6.57
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