This paper reports on the influence of wind power on transient stability of a power system taking into consideration the stochastic nature of a disturbance to the network. Traditionally, transient stability is evaluated using the deterministic method. This technique is usually considered for a single operating condition so called the worst case scenario. However, factors that affect the transient stability of a power system such as types of disturbance and its location, the clearing time, and even the pre-disturbance system state are all random processes. A probabilistic method using conditional probability is used in analysing the effects of wind generator technologies, wind power location, and wind power penetration level on the transient stability of a power system. The indices for probability of stability are established; comparison is made between the probabilistic and deterministic techniques in the evaluation of risk of instability of a power system consisting wind generators. DigSilent power factory 14.0 and matlab™ are employed in the analysis. Some of the key results show that wind power has both positive and negative influences on the transient stability of a power system depending on the location of the wind farm and the penetration level of the wind power. The deterministic approach gives a high pessimistic result compared to the probabilistic method. The probabilistic technique has the ability to quantify the level of instability in a power system.
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Ayodele et al. (2012) studied this question.