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MATLAB Simulink Projects for OEM & PhD Research 20/07/2026

Adaptive Droop Control DC Microgrid with Wind, PV, Battery & Grid | MATLAB Simulink
Explore the modelling and simulation of an adaptive droop-controlled DC microgrid integrating wind energy, solar PV, battery storage and the utility grid in MATLAB Simulink.

The adaptive droop controller modifies its control gain according to changing generation, load demand, battery condition and DC-bus voltage. This enables improved power sharing and voltage regulation compared with a conventional fixed-droop controller. The exact project is available on MATLAB Projects Code as a renewable-energy MATLAB/Simulink research model.

⚡ Main systems included

✅ Solar PV generation system
✅ Wind-energy conversion system
✅ Battery Energy Storage System
✅ Bidirectional battery converter
✅ Utility-grid interface
✅ Common DC-bus architecture
✅ Variable DC load
✅ Adaptive droop controller
✅ Converter current-control loops
✅ Voltage and power measurements

🎯 Adaptive droop-control objectives

The controller coordinates the renewable sources, battery and grid to:

Maintain a stable DC-bus voltage
Improve proportional power sharing
Reduce circulating currents
Respond to load variations
Manage intermittent wind and solar generation
Coordinate battery charging and discharging
Reduce voltage deviations
Improve system recovery after disturbances
Support grid-connected and islanded operation
🔄 Operating principle

When renewable generation exceeds load demand, the battery can absorb surplus power through its bidirectional converter. When solar or wind generation decreases, the battery or utility grid supplies the deficit.

📊 Simulation results that can be analysed
DC-bus voltage response
Wind-turbine output power
Solar PV output power
Battery charging and discharging power
Battery State of Charge
Grid import and export power
Load-demand variations
Source power-sharing performance
Converter current response
Voltage deviation
Power-sharing error
Recovery time after disturbances
Adaptive droop versus fixed droop
Renewable-generation utilisation
Overall microgrid stability
🎓 Suitable for
Electrical and electronics engineering students
Renewable-energy engineering projects
Power-electronics research
Smart-grid and microgrid studies
Control-system engineering
MSc and MEng dissertations
PhD research implementations
MATLAB Simulink final-year projects
OEM microgrid and energy-management studies
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🌐 Explore more renewable-energy projects:
MATLAB Projects Code – Renewable Energy

📧 Email: [email protected]
🌐 Website: www.matlabprojectscode.com

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"🎀 Breast Cancer Detection using Microstrip Patch Antenna | CST Studio Simulation Project" 06/07/2026

🎥 Detection of Breast Cancer using Microstrip Patch Antenna | CST Studio Suite Simulation
🔗 Watch: • "🎀 Breast Cancer Detection using Microstri...

https://www.youtube.com/watch?v=xEMO32f0C5Y

🌟 Why Watch?
This video demonstrates the *design and simulation of a microstrip patch antenna for breast cancer detection* using CST Studio Suite. The antenna is optimized to operate in the microwave frequency band for detecting dielectric variations between healthy and cancerous breast tissues.

📦 Get Project Files / Assignment Help:
🌐 www.matlabprojectscode.com
📱 WhatsApp: https://wa.me/+918300015425
📧 [email protected]

🎯 Key Topics Covered:
Basics of microstrip patch antenna design
Breast tissue modeling for dielectric property analysis
Antenna placement and SAR (Specific Absorption Rate) evaluation
CST Studio Suite workflow for antenna simulation
Frequency response and return loss (S11) analysis
Comparison of healthy vs. cancerous tissue detection
Biomedical application of antennas in cancer detection

👩‍🏫 Great For:
Electronics & Communication engineering students
Biomedical and antenna design researchers
Final-year B.Tech/M.Tech/MSc/PhD projects
Engineers exploring biomedical microwave applications

🧰 Tools Used:
CST Studio Suite
Biomedical dielectric modeling
Antenna design and S-parameter analysis

📈 What You’ll See:
Step-by-step microstrip patch antenna design in CST
Simulation setup with breast phantom model
S11 return loss and resonant frequency response
Detection results showing sensitivity to tumor presence

📦 Get Project Files / Assignment Help:
🌐 www.matlabprojectscode.com
📱 WhatsApp: https://wa.me/+918300015425
📧 [email protected]

"🎀 Breast Cancer Detection using Microstrip Patch Antenna | CST Studio Simulation Project" 🎥 Detection of Breast Cancer using Microstrip Patch Antenna | CST S...

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