Fully Distributed Event-Triggered Algorithm for Fixed-Time Economic Dispatch with Input Delay

Traditional distributed optimization is capable of resolving the economic dispatch problem (EDP) in microgrids, but the time lag within information systems is real and cannot be ignored. In the text, We initially propose a new algorithm based on fixed-time consensus to surmount the difficulty posed by input delays, and the time required for fixed-time convergence is not dependent on initial states. Moreover, to decrease the demand for information sharing, an event-triggered control approach is developed to prevent continuous communication, and there is no occurrence of Zeno behavior. Additionally, the dependability of the algorithm is proved through the use of Lyapunov's stability theory. In the end, the efficiency of the presented schemes is demonstrated by multiple case analyses.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865527
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.33
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article

Fully Distributed Event-Triggered Algorithm for Fixed-Time Economic Dispatch with Input Delay

Xiaofeng Wan, Zhiqiang Duan
1 citations
Advanced Control Systems Optimization
0.33
article

Fully Distributed Event-Triggered Algorithm for Fixed-Time Economic Dispatch with Input Delay

Xiaofeng Wan, Zhiqiang Duan
article en
1 citations

Abstract

Traditional distributed optimization is capable of resolving the economic dispatch problem (EDP) in microgrids, but the time lag within information systems is real and cannot be ignored. In the text, We initially propose a new algorithm based on fixed-time consensus to surmount the difficulty posed by input delays, and the time required for fixed-time convergence is not dependent on initial states. Moreover, to decrease the demand for information sharing, an event-triggered control approach is developed to prevent continuous communication, and there is no occurrence of Zeno behavior. Additionally, the dependability of the algorithm is proved through the use of Lyapunov's stability theory. In the end, the efficiency of the presented schemes is demonstrated by multiple case analyses.

Nanchang University (CN)
Decent work and economic growth
Openalex Percentile: Top 36%
Advanced Control Systems Optimization
0.33
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