GridConnect 🔌⚡

Geospatial Intelligence Platform for UK Grid Connections

A comprehensive open-source platform to help renewable energy projects understand grid connection feasibility, queue positions, and connection timelines.

Three-Layer Intelligence Model

• 🗺️ Infrastructure Discovery - Identify nearby substations, power lines, and transformers
• 📍 Network Accessibility - Calculate distance to grid and accessibility scores (0-100)
• ⏱️ Capacity & Queue Intelligence - Estimate grid congestion and connection timelines
• 📊 Probability Forecasting - 6-year connection likelihood projections
• 🚀 Open-Source & Free - MIT licensed, fully accessible, no restrictions

Renewable energy projects face massive uncertainty:

• "Will we get a connection?" - No feasibility assessment
• "When will we connect?" - Queue timelines hidden
• "Is this location viable?" - No spatial analysis
• "What's network capacity?" - No public visibility

GridConnect provides transparency and intelligence to accelerate renewable deployment.

git clone https://github.com/Kalitch/gridconnect.git
cd gridconnect
docker-compose up -d

Access:

• Frontend: http://localhost:3000
• API: http://localhost:8000
• API Docs: http://localhost:8000/docs

• Docker & Docker Compose
• OpenStreetMap UK data (auto-imported)

gridconnect/
├── app/ # FastAPI backend
│ ├── api.py # REST endpoints
│ ├── analyzer.py # Geospatial engine
│ ├── models.py # Database models
│ └── schemas.py # Data validation
├── frontend/ # React + TypeScript
│ └── src/
│ ├── components/ # Map, form, analysis
│ └── App.tsx
└── docker-compose.yml # Full stack

• Interactive grid mapping
• Connection feasibility analysis
• Queue estimation
• Capacity assessment
• UKPN real data (in progress)
• Production deployment

• Real UKPN queue data
• Network capacity visibility
• Grid reinforcement plans
• Assessment standards by DNO

• FERC data integration
• Multi-RTO support (PJM, MISO, CAISO)
• US interconnection process mapping

• European grids
• Standardized data format
• Community modules

• Grid Infrastructure: OpenStreetMap contributors 🙏
• Electricity Data: ESO (Electricity System Operator)
• Historical Data: OpenGovernance
• Queue Estimation: Historical patterns (UKPN partnership in development)

MIT License - See LICENSE

Contributions welcome from:

• Power system engineers
• GIS specialists
• Data scientists
• Web developers
• Energy economists

See CONTRIBUTING.md for guidelines.

• Issues: GitHub Issues
• API Docs: http://localhost:8000/docs (when running)
• Discussions: GitHub Discussions

• ⭐ Star this repository
• 🐛 Report bugs
• 💡 Suggest features
• 🔀 Contribute code

Built with ❤️ for the UK renewable energy transition 🌱⚡