Load modeling plays an important role in power system dynamic stability assessment. Uncertainties with respect to different load characteristics and operating conditions have great effects on power system simulation results. Therefore, it is important to analyze the effects of the load uncertainty on power system's dynamic simulation. This dissertation applies a new method—the Probabilistic Collocation Method (PCM) to analyze quantitative uncertainties, such as motor load proportions and nodal injection power on small signal stability and transient stability analysis. It allows the uncertainty analysis of power system to be studied using only a handful of simulations. By using the proposed method, the desired output is directly described as a polynomial of the uncertain parameters. The dissertation has also proposed a load ranking method which could rapidly detect the most important load during the oscillation. Combined with PCM, the dissertation studies the uncertainties of load on the transient stability systematically, and analyzes the generator angles'uncertainties quantitatively.
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