277 power system test cases ranging from 3 to 70,000 buses across various network topologies. The dataset provides detailed electrical parameters including branch impedances, bus shunts, and generator cost functions for the Optimal Power Flow (OPF) problem.
Use Cases
- Evaluate the scalability of non-linear optimization solvers using the 'bus' and 'branch' connectivity data
- Train machine learning models to predict voltage magnitudes (Vm) and angles (Va) based on load demands (Pd, Qd)
- Optimize generation dispatch to minimize total system cost using the 'gencost' parameters and generator limits (Pmin, Pmax)
- Analyze grid stability and congestion by monitoring branch flow limits (rateA, rateB, rateC)
Strengths
- Includes 277 network models ranging from small-scale 3-bus systems to large-scale 70,000-bus grids
- Provides detailed generator cost models including linear and quadratic coefficients in the 'gencost' table
- Contains electrical parameters such as resistance (r), reactance (x), and charging capacitance (b) for all transmission lines
- Supports multiple OPF formulations including AC, DC, and various convex relaxations