| Autor: |
Negi, Gaurav Singh, Mishra, Anupama, Gupta, Mukul Kumar, Saxena, Nitin Kumar, Saini, DilipKumar Jang Bahadur, Joshi, Kapil |
| Zdroj: |
International Journal of High Performance Systems Architecture; 2023, Vol. 11 Issue: 4 p225-236, 12p |
| Abstrakt: |
Real-time grid analysis is made possible by the electric digital twin grid, which combines history and present data to convey system status and project future circumstances. Cooperative smart agents that can solve problems bigger than one agent's scope make up a multi-agent system (MAS). A micro-grid digital twin (MGDT) uses real-time data interchange and high-fidelity models to simulate a microgrid's operation. Hybrid energy storage systems are managed by agents who maximise renewable resources and minimise expenses. Microgrids combine sensing, control, and intelligence technology in utility networks. Plant management, communication protocols, and power system operations are all made easier with MAS-based control. For dependable microgrid operation, dispersed energy resources are coordinated by MAS. In order to handle complexity and improve resilience and control of the energy system, this study investigates the application of MAS in microgrid control. Energy management and agent communication in microgrids are the main topics of MAS research. Integrating microgrid digital twins with MAS holds promise for advancing energy systems. |
| Databáze: |
Supplemental Index |
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