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Data-driven dynamic event-triggered load frequency control for multi-area interconnected power systems with random delays
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  • Yuhao Chen,
  • Huarong Zhao,
  • Li Peng,
  • HongNian Yu
Yuhao Chen
Jiangnan University College of Internet of Things Engineering
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Huarong Zhao
Jiangnan University College of Internet of Things Engineering

Corresponding Author:[email protected]

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Li Peng
Jiangnan University College of Internet of Things Engineering
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HongNian Yu
Edinburgh Napier University School of Computing Engineering and the Built Environment
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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 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.
17 Jul 2024Submitted to International Journal of Robust and Nonlinear Control
17 Jul 2024Submission Checks Completed
17 Jul 2024Assigned to Editor
17 Jul 2024Review(s) Completed, Editorial Evaluation Pending
27 Jul 2024Reviewer(s) Assigned
26 Aug 2024Editorial Decision: Revise Minor