ABSTRACT
A comprehensive review of various techniques for uncertainty analysis is presented, with a focus on methods that are relevant to probabilistic models of wind energy conversion system (WECS) for small signal stability analysis of a power system. Uncertainty methods have the ability to handle the stochastic nature of the power system. The application of these methods helps to control and minimize the risk associated with the design and operation of a power system. In this entry, various methods used in uncertainty problems are described, followed by a discussion of the advantages and disadvantages of each method. A probabilistic model of a wind-turbine-connected power system for small signal stability application is presented. A case study demonstrating the advantage of the probabilistic method [using Monte Carlo simulation (MCS) technique] over deterministic techniques in quantifying the level of instability in a power system is presented using standard IEEE 16-machine, 68-bus systems.
