Solar PV Dual Active Bridge DAB with MPPT and SPS Control in MATLAB Simulink
Solar PV Dual Active Bridge DAB with MPPT and SPS Control in MATLAB Simulink expands the main project into a separate search-focused research article. Step-by-step modelling guide for PV, MPPT, DAB bridges, transformer isolation and single-phase-shift modulation in MATLAB Simulink.
Topic scope and research objective
A suitable research question is: how can the Dual Active Bridge & Isolated Converters approach represented by “Solar PV-Fed Dual Active Bridge Converter with MPPT and Single-Phase-Shift Control MATLAB Simulink Three-Phase Grid Integration” be evaluated using MATLAB Simulink, Simscape Electrical so that power-transfer tracking and DC voltage regulation are improved or maintained without creating unacceptable degradation in RMS transformer / tank current?
This article approaches Solar PV-Fed Dual Active Bridge Converter with MPPT and Single-Phase-Shift Control MATLAB Simulink Three-Phase Grid Integration from a design perspective so the page answers a different research need rather than repeating the main project description.
Technical focus
- PV array and MPPT dynamic response
- single-phase-shift DAB power transfer
- high-frequency transformer and leakage-inductance design
- three-phase inverter and grid-current validation
Design and modelling workflow
- Define voltage ratio, power rating and transformer ratio. Record dimensions, material values, controller settings or boundary conditions so the model can be reproduced.
- Select leakage / resonant parameters and switching frequency. Record dimensions, material values, controller settings or boundary conditions so the model can be reproduced.
- Implement SPS or resonant control for the selected topology. Record dimensions, material values, controller settings or boundary conditions so the model can be reproduced.
- Run nominal, wide-voltage and load-change cases. Record dimensions, material values, controller settings or boundary conditions so the model can be reproduced.
- Compare power transfer, ZVS range, RMS current, device stress and efficiency. Record dimensions, material values, controller settings or boundary conditions so the model can be reproduced.
Parameters that should be defined before simulation
- Input source / PV or DC bus
- Primary bridge / switching stage
- High-frequency transformer and leakage / resonant network
- Secondary bridge / rectifying stage
- SPS or resonant control
- Voltage, current, power and loss measurement
Where a parameter is uncertain, use a bounded sweep rather than tuning by trial and error. Keep one verified baseline case for comparison.
Design verification checklist
The recommended validation evidence includes power-transfer tracking, DC voltage regulation, RMS transformer / tank current, soft-switching range. The strongest validation comes from repeating identical test cases for the reference and proposed methods, then explaining why the measured differences occur. The final discussion should also explain sensitivity to light-load and full-load cases, phase-shift / switching-frequency sweep.
PhD and journal research extensions
- wide-range soft-switching optimization across voltage and load
- multi-objective magnetics / resonant-tank design for efficiency and power density
- advanced phase-shift or predictive control for transient performance
- SiC / GaN loss and thermal co-optimization with bidirectional operation
For PhD researchers and postgraduate scholars working internationally, this topic can be adapted to a university proposal, published reference paper or independently defined research gap. The model scope can be aligned with the required software version, parameter set, dataset, disturbance profile, geometry, controller structure and reporting format while preserving reproducibility and clear technical attribution.
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