GridSDN Monitor - Power Grid Monitoring System

A comprehensive multi-tier power grid monitoring platform with software-defined network analysis, real-time fault detection, load optimization, and predictive maintenance capabilities.

Features

• Multi-Tier Monitoring: Support for both distribution and transmission networks
• Real-Time Analytics: Sub-second fault detection and alerting
• Predictive Maintenance: ML-powered equipment health monitoring
• Load Optimization: Intelligent load balancing recommendations
• SDN Integration: Software-defined network topology management
• Interactive Visualization: Real-time network topology and dashboards

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                         Frontend (React)                         │
│                  Network Viz | Dashboards | Alerts               │
└────────────────────────────┬────────────────────────────────────┘
                             │ WebSocket/REST
┌────────────────────────────┴────────────────────────────────────┐
│                      API Layer (FastAPI)                         │
│                  Auth | REST | GraphQL | WebSocket               │
└────────────┬───────────────────────────────────┬─────────────────┘
             │                                   │
┌────────────┴──────────────┐    ┌──────────────┴─────────────────┐
│   Stream Processing       │    │    Analytics Engine             │
│   (Kafka + Faust)        │    │    (ML Models + Algorithms)     │
└────────────┬──────────────┘    └──────────────┬─────────────────┘
             │                                   │
┌────────────┴───────────────────────────────────┴─────────────────┐
│                   Data Storage Layer                              │
│         TimescaleDB | Redis | PostgreSQL | MinIO                 │
└────────────┬──────────────────────────────────────────────────────┘
             │
┌────────────┴──────────────────────────────────────────────────────┐
│                    Data Acquisition Layer                          │
│           SCADA | PMU | Smart Meters | SDN Controller             │
└───────────────────────────────────────────────────────────────────┘

Quick Start

Prerequisites

• Docker & Docker Compose
• Python 3.11+
• Node.js 18+
• 8GB RAM minimum

Development Setup

1. Clone and setup

cd gridsdn-monitor
./scripts/setup-dev.sh

2. Start services

docker-compose up -d

3. Initialize database

./scripts/init-db.sh

4. Start backend

cd backend
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

5. Start frontend

cd frontend
npm install
npm start

6. Access the application

• Frontend: http://localhost:3000
• API Docs: http://localhost:8000/docs
• Grafana: http://localhost:3001 (admin/admin)

Project Structure

gridsdn-monitor/
├── backend/                 # FastAPI backend
│   ├── app/
│   │   ├── api/            # API routes
│   │   ├── core/           # Core config and utilities
│   │   ├── models/         # Database models
│   │   ├── schemas/        # Pydantic schemas
│   │   ├── services/       # Business logic
│   │   ├── ml/             # ML models and training
│   │   └── main.py         # Application entry point
│   ├── alembic/            # Database migrations
│   ├── tests/              # Backend tests
│   └── requirements.txt
├── frontend/               # React frontend
│   ├── src/
│   │   ├── components/     # React components
│   │   ├── pages/          # Page components
│   │   ├── services/       # API clients
│   │   ├── hooks/          # Custom hooks
│   │   └── utils/          # Utilities
│   └── package.json
├── docker/                 # Docker configurations
│   ├── kafka/
│   ├── timescaledb/
│   └── prometheus/
├── scripts/                # Utility scripts
├── docs/                   # Documentation
└── docker-compose.yml

Development Workflow

Running Tests

# Backend tests
cd backend
pytest

# Frontend tests
cd frontend
npm test

Code Quality

# Backend linting
cd backend
black app/
flake8 app/
mypy app/

# Frontend linting
cd frontend
npm run lint

Database Migrations

cd backend
alembic revision --autogenerate -m "Description"
alembic upgrade head

Configuration

Configuration is managed through environment variables. See .env.example for available options.

Key configurations:

• DATABASE_URL: TimescaleDB connection string
• REDIS_URL: Redis connection string
• KAFKA_BOOTSTRAP_SERVERS: Kafka broker addresses
• JWT_SECRET_KEY: Secret for JWT token generation

API Documentation

Interactive API documentation is available at /docs (Swagger UI) and /redoc (ReDoc) when the backend is running.

Key Endpoints

• GET /api/v1/network/topology - Retrieve network topology
• GET /api/v1/measurements/realtime - Real-time measurements stream
• GET /api/v1/alerts - Active alerts
• POST /api/v1/analytics/predict - Run predictive maintenance analysis
• GET /api/v1/health - System health check

Monitoring & Observability

• Metrics: Prometheus metrics exposed at /metrics
• Logs: Structured JSON logging to stdout
• Tracing: OpenTelemetry integration (optional)
• Dashboards: Pre-built Grafana dashboards in docker/grafana/dashboards/

Security

• All API endpoints require JWT authentication (except /health)
• Role-based access control (RBAC) for different user types
• TLS/SSL encryption for all external communications
• Secrets managed through environment variables or secret managers

Contributing

1. Create a feature branch from develop
2. Make your changes with tests
3. Run linting and tests
4. Submit a pull request

License

Proprietary - All rights reserved

Support

For issues and questions, contact the engineering team or create an issue in the project repository.

Roadmap

• Phase 1: Foundation & basic API
• Phase 2: Real-time data ingestion
• Phase 3: Analytics engine
• Phase 4: ML models for predictive maintenance
• Phase 5: SDN controller integration
• Phase 6: Production hardening

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Version: 1.0.0-prototype
Last Updated: February 9, 2026