Data-driven dynamic event-triggered load frequency control for
multi-area interconnected power systems with random delays
- Yuhao Chen,
- Huarong Zhao,
- Li Peng,
- HongNian Yu
Yuhao Chen
Jiangnan University College of Internet of Things Engineering
Author ProfileHuarong Zhao
Jiangnan University College of Internet of Things Engineering
Corresponding Author:hrzhao@jiangnan.edu.cn
Author ProfileLi Peng
Jiangnan University College of Internet of Things Engineering
Author ProfileHongNian Yu
Edinburgh Napier University School of Computing Engineering and the Built Environment
Author ProfileAbstract
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
29 Nov 20241st Revision Received
17 Dec 2024Submission Checks Completed
17 Dec 2024Assigned to Editor
17 Dec 2024Review(s) Completed, Editorial Evaluation Pending
17 Dec 2024Reviewer(s) Assigned