📌 Overview

This Simulink model simulates a 3-phase electrical power system and detects faults on phases A, B, C, and Ground (G). The fault types include single-phase, two-phase, and three-phase faults, with real-time sensor data exported for analysis. it was taken from https://github.com/KingArthur000/Electrical-Fault-detection-and-classification/blob/main/ANN_project.slx and performed some modifications on it

⚙️ Features

• Models 3-phase voltage and current behavior under normal and faulty conditions.
• Detects line-to-ground, line-to-line, and three-phase faults.
• Sends real-time voltage and current values to external systems via UDP for machine learning-based fault classification.

🧩 Components

• Three-Phase Source
• Fault Blocks for triggering faults
• Current & Voltage Measurement Blocks
• UDP Send Block to transmit real-time data
• Scope/Display Blocks for visualization

🛠 Requirements

• MATLAB R202x with Simulink
• Instrument Control Toolbox (for UDP communication)
• Control System Toolbox (if using scopes or control blocks)

🚀 How to Run

1. Open fault_detection_simulink_model.slx in MATLAB Simulink.
2. Configure simulation parameters (time, solver).
3. Click Run.
4. Faults will be injected during simulation and corresponding voltages/currents will be sent over UDP.

🔄 Input & Output

• Input: None (automated fault simulation)
• Output: Voltage & current values from each phase via UDP (formatted as CSV or float arrays)

🧪 Testing

To test the model:

• Open MATLAB.
• Run the Simulink model.
• Use a separate Python/Flask app to receive and classify data.