User Guide
Practical guides for CLI operators and analysts using GAT
Getting Started
- Quickstart — Run your first power flow analysis in 5 minutes
- Installation — Install GAT and verify it works
- Datasets — Standard test cases and data sources
Core Analysis
- Power Flow — DC and AC power flow analysis
- Optimal Power Flow — Economic dispatch and OPF
- Contingency Analysis — N-1 screening and reliability
- State Estimation — Measurement-based state estimation
- Time Series — Multi-period analysis
Domain Workflows
- DERMS — Distributed Energy Resource Management
- ADMS — Advanced Distribution Management Systems
- Reliability — Adequacy and security metrics
Tools & Reference
- CLI Overview — Command structure and options
- Visualization — Network and results visualization
- Benchmarking — Performance testing
- Arrow schema — Canonical folder layout (system/buses/generators/loads/branches) and manifest provenance
- Convert workflow —
gat convert formatto move between MATPOWER/PSS/E/CIM/PandaPower via Arrow
Overview
High-level introduction to GAT architecture and documentation
Quickstart
Get started with GAT in 5 minutes
Installation Verification
Verify your GAT installation and test basic functionality
Power Flow
Power flow commands
Optimal Power Flow
Complete guide to GAT's four-tier OPF solver hierarchy
Time Series
Time series processing for telemetry, load profiles, and multi-period analysis
State Estimation
Practical state estimation with WLS, bad data detection, and observability analysis
ADMS Integration
ADMS (Automatic Distribution Management System)
Arrow Schema Deep Dive
Explore the folder-based Arrow schema that GAT used as its canonical intermediate.
DERMS Workflows
DERMS (Distributed Energy Resource Management System)
Distribution Analysis
DIST (Distribution System Analysis)
Network Inspection
Deep-dive network inspection and diagnostic tools
Graph Topology
Network topology analysis, island detection, and graph operations
Format Conversion
Convert between MATPOWER, PSS/E, CIM, pandapower, PowerModels.jl, and Arrow formats using gat convert.
Dataset Management
Dataset adapters
Reliability Analysis
Evaluate power system reliability with Monte Carlo simulation and LOLE/EUE metrics
Benchmarking
Benchmark GAT solver performance against public datasets
Batch Analysis
Run power flow and OPF across multiple scenarios
ML Feature Extraction
Extract features from power systems data for machine learning models
Geo-Spatial Analysis
GIS integration and spatial feature aggregation for power systems
Settlement & Allocation
Congestion rent analysis and KPI attribution
Visualization CLI
Visualization commands and plotting