Network control based load frequency control considering the transmission delay

Abstract This study introduces a network‐based controller to regulate frequency within power systems. The primary objective of this investigation is to ensure the stability of power systems experiencing delays in control signal transmission. Initially, a modified networked predictor is proposed to anticipate future signals within a decentralized load frequency control framework. Subsequently, a timestamp technique is employed to actively compensate for the impact of transmission delays. Additionally, an event trigger mechanism is incorporated to complement the extended state observer and optimize signal transmission resource usage. The outcomes of the study indicate that the proposed method effectively mitigates delay effects while maintaining superior performance. Moreover, the proposed method remarkably reduces the required transmission resources.

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Publication Details

Journal
IET Control Theory and Applications
Published
2024-09-02
DOI
https://doi.org/10.1049/cth2.12738
Citations
2
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.42
Controls
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article

Network control based load frequency control considering the transmission delay

Herbert Ho‐Ching Iu, Tat Kei Chau, Boming Zhang, Xinan Zhang
2 citations
IET Control Theory and Applications
Frequency Control in Power Systems
0.42
article

Network control based load frequency control considering the transmission delay

Herbert Ho‐Ching Iu, Tat Kei Chau, Boming Zhang, Xinan Zhang
article en
2 citations

Abstract

Abstract This study introduces a network‐based controller to regulate frequency within power systems. The primary objective of this investigation is to ensure the stability of power systems experiencing delays in control signal transmission. Initially, a modified networked predictor is proposed to anticipate future signals within a decentralized load frequency control framework. Subsequently, a timestamp technique is employed to actively compensate for the impact of transmission delays. Additionally, an event trigger mechanism is incorporated to complement the extended state observer and optimize signal transmission resource usage. The outcomes of the study indicate that the proposed method effectively mitigates delay effects while maintaining superior performance. Moreover, the proposed method remarkably reduces the required transmission resources.

IET Control Theory and ApplicationsVol. 18(18)
The University of Western Australia (AU)
Openalex Percentile: Top 38%
Frequency Control in Power Systems
0.42
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