Data‐Driven Dynamic Event‐Triggered Load Frequency Control for Multi‐Area Interconnected Power Systems With Random Delays

ABSTRACT This paper investigates a load frequency control issue for multi‐area interconnected unknown power systems with random communication delays. First, a model‐free adaptive control scheme is established by building an equivalent data‐relationship model between the area control error and corresponding control input. Then, a dynamic event‐triggered scheme is designed to improve resource utilization and reduce computational burden. Furthermore, random communication delays in the feedback and forward channels are considered. The results show that the proposed method is independent of any model information about the power system, only using the controlled system's control input and output data. Several simulation results validate the effectiveness of the proposed control scheme.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-02-03
DOI
https://doi.org/10.1002/rnc.7847
Citations
7
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
5.11

Funders

Controls
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article

Data‐Driven Dynamic Event‐Triggered Load Frequency Control for Multi‐Area Interconnected Power Systems With Random Delays

Huarong Zhao, Li Peng, Hongnian Yu, Yuhao Chen
7 citations
International Journal of Robust and Nonlinear Control
Frequency Control in Power Systems
5.11
article

Data‐Driven Dynamic Event‐Triggered Load Frequency Control for Multi‐Area Interconnected Power Systems With Random Delays

Huarong Zhao, Li Peng, Hongnian Yu, Yuhao Chen
article en
7 citations

Abstract

ABSTRACT This paper investigates a load frequency control issue for multi‐area interconnected unknown power systems with random communication delays. First, a model‐free adaptive control scheme is established by building an equivalent data‐relationship model between the area control error and corresponding control input. Then, a dynamic event‐triggered scheme is designed to improve resource utilization and reduce computational burden. Furthermore, random communication delays in the feedback and forward channels are considered. The results show that the proposed method is independent of any model information about the power system, only using the controlled system's control input and output data. Several simulation results validate the effectiveness of the proposed control scheme.

International Journal of Robust and Nonlinear ControlVol. 35(8)
Jiangnan University (CN), Edinburgh Napier University (GB)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project
Openalex Percentile: Top 5%
Frequency Control in Power Systems
5.11
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