⚡ Power Analyzer Simulation

A Python project that simulates fundamental concepts of electrical power systems (RMS, active power, power factor, phase shift, THD) in a software environment. This repository is designed both for learning purposes and as a stepping stone towards hardware-based power analyzers.

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🚀 Features

- Synthetic generation of voltage and current signals (phase shift, harmonics, noise injection)
- RMS, active power, and power factor calculations
- Phase shift detection using FFT-based method
- FFT analysis and Total Harmonic Distortion (THD) measurement
- Graphical outputs saved automatically (time-domain, frequency-domain, instantaneous power)

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📂 Project Structure

power-analyzer-sim/
│── data/            # Sample signals (CSV)
│── figures/         # Generated plots
│── src/             # Source modules
│   ├── generate_signals.py
│   ├── calculations.py
│   ├── fft_analysis.py
│   ├── visualize.py
│── tests/           # Unit tests
│── main.py          # Entry point
│── requirements.txt
│── README.md
│── LICENSE

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🖥️ Installation

git clone https://github.com/kullanici/power-analyzer-sim.git
cd power-analyzer-sim
python -m venv .venv
.venv\Scripts\activate  # (Windows)
pip install -r requirements.txt
python main.py

📊 Example Output

=== Power Analyzer Results ===
Vrms: 229.81 V
Irms: 7.07 A
Active Power (P): 1407.29 W
Power Factor (PF): 0.866
Phase Shift: 30.00°
Voltage THD: 10.20%
Current THD: 10.35%

📈 Figures

• Voltage & Current:
  

• Instantaneous Power:
  

• Voltage FFT:
  

• Current FFT:
  

🎯 Roadmap

- Implement zero-crossing method for phase detection
- Add more complex harmonic combinations
- Integrate real sensor data (hardware support)
- Build a simple GUI (Tkinter/Dash)

🔢 Mathematical Formulas

• RMS (Root Mean Square):
  Vrms = sqrt( (1/T) * ∫ v(t)^2 dt )

• Aktif Güç:
  P = Vrms * Irms * cos(phi)

• Reaktif Güç:
  Q = Vrms * Irms * sin(phi)

• Toplam Harmonik Distorsiyon (THD):
  THD = sqrt(V2^2 + V3^2 + ... ) / V1

📚 References

• Electrical Power Systems Basics (Thomas Wildi)
• NumPy Documentation
• SciPy Signal Processing