Solar–Fuel Cell DC nanogrid with ANN-based DAB phase control and adaptive RL energy management for cost and CO₂ reduction.
https://scholar.google.com/citations?user=TX7F-NIAAAAJ&hl=en
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ANN-Assisted Dual Active Bridge Nanogrid with Adaptive Energy Management
This MATLAB project simulates a hybrid DC nanogrid integrating:
• Solar PV generation
• Fuel cell source
• Battery energy storage
• Grid backup
• 400 V DC bus
The system employs:
• ANN-based Dual Active Bridge (DAB) phase shift control
• Adaptive reward-based energy dispatch optimization
• DC bus dynamic modeling
• Annual economic and CO₂ emission analysis
Cite As
CHANDRA BABU GUTTIKONDA (2026). AI-Based Dual Active Bridge DC Nanogrid System (https://www.mathworks.com/matlabcentral/fileexchange/183240-ai-based-dual-active-bridge-dc-nanogrid-system), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (3.79 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
