Pi 5 Smart Grid Fault Detection
Detect Grid Faults in Real Time with the Raspberry Pi 5 Smart Grid Fault Detection Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Industrial power grids experience faults that can cause blackouts and equipment damage. With this kit, you'll build a system that monitors AC current waveforms using current transformers and detects anomalies in real time with a TensorFlow Lite model running on the Raspberry Pi 5.
What You'll Build
You'll assemble a portable, edge-based power quality monitor that clamps onto any single-phase or three-phase line and logs waveform data to an NVMe SSD. The AI model identifies voltage sags, swells, harmonics, and transient spikes, sending alerts via a web dashboard or over MQTT to your network.
What You'll Learn
- Interfacing SCT-013 current transformers with ADS1115 ADC for high-resolution waveform sampling
- Training and deploying a TensorFlow Lite anomaly detection model on Raspberry Pi 5
- Storing time-series data on an NVMe SSD for long-term power quality analysis
- Building a real-time monitoring dashboard with Python and Flask
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| SCT-013 Current Transformer | 2 |
| ADS1115 ADC | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 15 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This kit is designed for final-year B.Tech ECE/EEE students working on power quality monitoring projects, Smart India Hackathon teams tackling smart grid challenges, and researchers at IITs, NITs, and VIT building real-time anomaly detection systems.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
The included AI companion guides you step-by-step, and you can message our WhatsApp support for troubleshooting specific to this kit.
Do I need a real high-voltage power line to test this?
No, you can safely test with a low-voltage AC source using a variac or a desktop power supply with a resistive load. The SCT-013 clamps on without electrical contact.
Can I deploy this on a three-phase system?
The kit includes two current transformers; you can monitor two phases. Adding a third CT is straightforward and supported in the AI companion's extended build guide.
Is the TensorFlow Lite model pre-trained?
The kit includes a pre-trained model for common grid anomalies, and you'll learn to fine-tune it with your own data using our step-by-step Jupyter notebooks.
Current transformer sensors feed grid waveform data to a TFLite anomaly detector on Pi 5 — power quality monitoring.
What's in this kit
- Raspberry Pi 5 4GB
- SCT-013 Current Transformer x2
- ADS1115 ADC
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x15
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items