Priority Ranking of Critical Uncertainties Affecting Small-Disturbance Stability Using Sensitivity Analysis Techniques

This paper critically evaluates a number of
sensitivity analysis (SA) techniques to identify the most
influential parameters affecting power system small-disturbance
stability. Sensitivity analysis of uncertain parameters has
attracted increased attention with the adoption of deregulated
market structure, intermittent energy resources and new types of
loads. Identification of the most influential parameters affecting
system stability using SA techniques will facilitate better
operation and control with reduced monitoring (only of the
parameters of interest) by system operators and stakeholders. In
total, nine SA techniques have been described, implemented and
compared in this paper. These can be categorised into three
different types: local, screening, and global SA. This comparative
analysis highlights their computational complexity and
simulation time. The methods have been illustrated using a twoarea
power system and 68 bus NETS-NYPS test system. The
priority ranking of all uncertain parameters has been evaluated,
identifying the most critical parameters with respect to the smallsignal
stability of the test systems. It is shown that for many
applications, the Morris screening approach is most suitable,
providing a good balance between accuracy and efficiency.