Research and implementation of a simulation training system for grid control strategies with integration of distributed new energy sources and energy storage devices

Yan Gao; Yuan Zhuang; Jing Wang; Miao Li

doi:10.1117/12.3045291

16 January 2025 Research and implementation of a simulation training system for grid control strategies with integration of distributed new energy sources and energy storage devices

Yan Gao, Yuan Zhuang, Jing Wang, Miao Li

Author Affiliations +

Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134471B (2025) https://doi.org/10.1117/12.3045291
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China

Abstract

Due to the continuous implementation of the dual carbon strategy, the capacity of new energy grid-connected generation has been increasing year by year, while the capacity of energy storage equipment is also growing steadily. To enhance the operational proficiency and control expertise of dispatchers, this paper utilizes a multi-agent simulation model to construct a grid operation simulation model and develops a simulation training system software for the application of grid control strategies. By networking servers, network equipment, and end-user computers, the simulation software has been equipped with the necessary hardware infrastructure for operation. The developed grid control strategy simulation training system, which includes the integration of distributed new energy sources and energy storage devices, enables simulation of various scenarios in grid operation, providing a simulated practice platform for personnel to enhance their work capabilities.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Gao, Yuan Zhuang, Jing Wang, and Miao Li "Research and implementation of a simulation training system for grid control strategies with integration of distributed new energy sources and energy storage devices", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134471B (16 January 2025); https://doi.org/10.1117/12.3045291

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