EMT simulation dataset for machine learning-based analysis of GIC effects on generators
Description
This dataset includes 600 EMT simulation scenarios generated in MATLAB/Simulink to analyze the impact of geomagnetically induced currents (GICs) on synchronous generators. It contains five input parameters (VDC, RG, PL, pf, kline) and five output variables (I2eq, THDI, Vt, PG, QG). The dataset is intended for machine learning-based surrogate modeling and power system analysis.
Files
Steps to reproduce
The dataset was generated using a MATLAB/Simulink-based electromagnetic transient (EMT) model of a power system including a synchronous generator, transformers, and a transmission line. Define the input parameter ranges: 1. VDC (DC voltage), RG (grounding resistance), PL (load level), pf (power factor), and kline (line impedance imbalance). 2. Generate input combinations using Latin Hypercube Sampling (LHS) to ensure uniform coverage of the parameter space. 3. For each scenario, run EMT simulations in MATLAB/Simulink using the predefined system model. 4. Extract output variables from the simulation results: I2eq, THDI, Vt, PG, and QG. 5. Store the input–output pairs to form the final dataset of 600 scenarios.