2 electromechanical oscillations: Eigenvalue 1: Probabilistic Analysis of Power System Stability Under Solar Power Variability Katrina Eccles1, Horacio Silva2 1 Tennessee Technological University 2 The University of Tennessee, Knoxville INTRODUCTION Gaining understanding in solar power variability is becoming increasingly critical as the demand for solar power increases Along with this increased deployment of solar generating systems comes greater expectancy of unwanted electromechanical oscillations Imaginary Part [rad/s] Real Part [1/s] Fig. 2 Example of eigenvalue Plot used to characterize oscillations Fig. 1 A time domain simulation, based on a linearized system Damping Ratio 10% 5% PV C B A 2 electromechanical oscillations: Eigenvalue 1: Inter-area, base case frequency: 13, machine 1 against 2 and 3 Eigenvalue 2: Local, base case frequency: 8, machine 2 against 3 Fig. 4 9-bus system simulated in DIgSILENT PowerFactory, Photovoltaic (PV) plants shown to represent each case position, and system parameters POWER SYSTEM MODEL CASE STUDIES     Fig. 6 Histogram for each case of the damping ratio for the inter-area eigenvalue with base-case frequency 13 Fig. 7 Histogram for each case of the damping ratio for the local eigenvalue with base-case frequency 8 PRELIMINARY STUDIES   FUTURE WORK Discover curves of best-fit to apply to output Use real system data as input Apply learned techniques to a much larger system