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

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.

Authors

Institutions

Publication Details

Published
2025-01-16
DOI
https://doi.org/10.1117/12.3045291
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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
Microgrid Control and Optimization
article

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
article en

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.

Jilin Electric Power Research Institute (China) (CN)
Openalex Percentile: Top 99%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

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, et al. · (2025) | TGRS Research Map | TGRS