Distributed dynamic event-triggered time-varying resource management for microgrids via practical predefined-time multiagent methods
This paper investigates the problem of time-varying (TV) resource management in microgrids (MGs) under TV demand, employing a multi-agent system (MAS) approach. A novel TV resource management model is introduced, explicitly accounting for dynamic constraints and demand variations to ensure real-time...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004909 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This paper investigates the problem of time-varying (TV) resource management in microgrids (MGs) under TV demand, employing a multi-agent system (MAS) approach. A novel TV resource management model is introduced, explicitly accounting for dynamic constraints and demand variations to ensure real-time resource allocation while effectively handling load fluctuations and renewable energy variability. To address this problem, a fully distributed predefined-time (PDT) optimization algorithm is developed, incorporating a time-base generator (TBG) to guarantee convergence within a PDT, independently of initial conditions and system parameters. Additionally, a novel dynamic event-triggered (DET) communication mechanism is designed to reduce unnecessary data exchange and ensure scalability under limited communication resources. The effectiveness of the proposed approach is assessed through extensive simulations, which confirm its ability to achieve robust operation, fast convergence, reduced communication overhead, and adaptability to structural changes in the MG, including plug-and-play (PnP) functionality. |
|---|---|
| ISSN: | 0142-0615 |