Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 13, Issue 1, Pages 619-628Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2021.3123372
Keywords
Microgrids; Voltage control; Vehicle dynamics; Impedance; Decentralized control; Communication networks; Traffic congestion; Current sharing; control of DC Converter; DC microgrid; distributed control; dynamic event-triggered control; droop control; voltage restoration
Categories
Funding
- Shenzhen Overseas High Level Talent Project Peacock Plan
- Shenzhen Stable Support Project [GXWD20201230155427003-2020082319352001]
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A distributed dynamic event-triggered control method is proposed in this paper to solve the problem of simultaneous DC bus voltage recovery and current sharing in islanded DC microgrids. This control scheme can ensure DC bus voltage deviation removal and achieve current sharing among distributed generation units without requiring global information. The method involves data of neighboring DGs only at event-triggered times, reducing the communication burden of the DC microgrid network. The stability of the proposed method is demonstrated using the Lyapunov function and Zeno behavior is excluded. Experimental results with four case studies validate the effectiveness of the proposed method.
Due to the droop control applied in islanded DC microgrids, DC bus voltage recovery, and current sharing cannot be guaranteed simultaneously. To solve this problem, a distributed dynamic event-triggered control method is proposed in this paper. The presented control scheme can remove DC bus voltage deviation while achieving the current sharing among distributed generation (DG) units. In addition, the proposed method requires no global information, and only the DC bus voltage from the physical network is needed. Moreover, the data of neighboring DGs at only event-triggered times are involved, which greatly reduces the communication burden of the DC microgrid communication network. The stability of the proposed method is demonstrated through the Lyapunov function, and Zeno behavior can be excluded as well. Finally, the experimental results with four case studies are presented to validate the effectiveness of the proposed method.
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