1. 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