计算机科学
带宽(计算)
控制器(灌溉)
分布式计算
控制理论(社会学)
计算机网络
控制(管理)
人工智能
农学
生物
作者
Rui Wang,Weihua Li,Qiuye Sun,Yushuai Li,Yonghao Gui,Peng Wang
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-04-01
卷期号:19 (4): 5667-5678
被引量:14
标识
DOI:10.1109/tii.2022.3188352
摘要
Although the current sharing control of dc microgrids has been widely studied, the high communication bandwidth and global communication network structure information demands hander the renewable energy consumption. Thus, this article proposes a fully distributed dynamic edge-event-triggered current sharing control strategy for multibus dc microgrids with power coupling. First, the system model with power coupling is built, which is further switched to the linear heterogeneous multiagent systems with unknown disturbance. It is an indispensable preprocessing for controller design. Furthermore, the fully distributed current sharing control strategy is proposed through adaptive coupling weights. Note that the global communication network structure information demand is eliminated. Moreover, the fully distributed dynamic edge-event-triggered mechanism is proposed to reduce communication bandwidth. Compared with the previous dynamic event-triggered mechanisms applied into dc microgrids, the continuous communication between neighboring agents is avoided, and controller updating frequency is reduced. Finally, the simulation and experimental results verify the proposed control performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI