Abstract
In modern power systems, the penetration of deregulated market structures, together with the integration of renewable energy source-based generations and non-conventional loads can exhibit inherent stochastic and intermittent behaviour. Hence, bringing uncertainties to the system generation and loading profile, affects the power system's dynamic behaviour. The identification and ranking of critical system uncertain parameters is important for the efficient operation of modern power systems since they can enable better system management with less monitoring. In this paper, 6 sensitivity analysis (SA) methods have been employed for the priority ranking of uncertain parameters in a network with renewable generations from the perspective of their influence on power system voltage stability. The performances of the 6 SA methods are evaluated and their advantages and disadvantages are discussed. The modified version of the 68 bus NETS-NYPS has been used as the test system.
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