Discrete-Time Based Adaptive Event-Triggered Control for Multi-Machine Power Systems

This paper presents an optimized control strategy for power systems with SVCs using event-triggered adaptive dynamic surface control. This method reduces unnecessary data transmission by activating controls only when significant state changes occur, thus alleviating network congestion and improving system performance without compromising stability. Proven effective through analysis and simulations, this approach addresses communication bottlenecks in power system control efficiently.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/aiac63745.2024.10899444
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Discrete-Time Based Adaptive Event-Triggered Control for Multi-Machine Power Systems

Bing Tian, Yan Li, Rong Yuan, Guoqiang Zhu
Advanced Control Systems Optimization
article

Discrete-Time Based Adaptive Event-Triggered Control for Multi-Machine Power Systems

Bing Tian, Yan Li, Rong Yuan, Guoqiang Zhu
article en

Abstract

This paper presents an optimized control strategy for power systems with SVCs using event-triggered adaptive dynamic surface control. This method reduces unnecessary data transmission by activating controls only when significant state changes occur, thus alleviating network congestion and improving system performance without compromising stability. Proven effective through analysis and simulations, this approach addresses communication bottlenecks in power system control efficiently.

Northeast Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 65%
Advanced Control Systems Optimization
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