Problematic Parameter Identification Featured Model Calibration Method to Microgrid

Abstract

Precise digital models are critical to investigate the behaviors of microgrids and evaluate the stability of their connected power grids. Therefore, it is necessary to periodically validate and calibrate the microgrid models to maintain the security of power system. However, instead of calibrating the problematic parameters that differ from their true values, the existing model calibration methods normally adjust the selected sensitive parameters. The accuracy of mode calibration results is still in doubt. To solve this problem, a novel parameter calibration method considering problematic parameters was developed in the paper. First, sensitivity and correlation analysis are employed to select the Potentially Problematic Parameters (PPPs), which have large sensitivities and could be stably estimated. Second, the energy distribution of PPPs and model errors are contrasted in frequency-domain to confirm the problematic parameters. Finally, with the application of Hybrid Dynamic Simulation (HDS) based parameter estimation technology, the values of problematic parameters are adjusted. The simulation results demonstrate the outstanding performance in parameter calibration of a real microgrid.