Paper
13 May 2024 Active disturbance rejection control of multi-area load frequency based on improved sparrow search algorithm
Hu Jun, Wang Xihuai
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131599Y (2024) https://doi.org/10.1117/12.3024656
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
Currently, China's power demand continues to grow steadily, and the characteristics of peak load are becoming more prominent. With the rapid development of new energy generation technologies, the regulation and support capabilities of the power system face many constraints. In order to improve the accuracy of frequency control in the power system and maintain reliable and stable frequency characteristics, this paper focuses on the application of Active Disturbance Rejection Control (ADRC) in the Load Frequency Control (LFC) system of multi-area interconnected power load. A Firefly Algorithm Sparrow Search Algorithm (FASSA) is proposed to enhance the optimization accuracy and stability of the algorithm, and optimize the self-disturbance rejection control parameters designed for better dynamic response performance of the system. In addition, simulation comparisons are conducted on the established multi-area power system under different control modes. The results show that the proposed algorithm exhibits better search performance, robustness, and smaller deviation compared to the original algorithm, and the designed controller possesses excellent control properties, demonstrating superior practical application value.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hu Jun and Wang Xihuai "Active disturbance rejection control of multi-area load frequency based on improved sparrow search algorithm", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131599Y (13 May 2024); https://doi.org/10.1117/12.3024656
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KEYWORDS
Control systems

Wind energy

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Design

Detection and tracking algorithms

Wind turbine technology

Computer simulations

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