Uncertainty analysis of load models in dynamic stability

Load model is one of the most important element power system simulation and control. However, quantitatively analyzing uncertainty of key parameter in load model is difficult, due to the high computation cost of the traditional uncertainty analysis methods. Through Probabilistic Collocation Method (PCM), the quantitative uncertainty analysis of load models in dynamic stability is studied. Based on the measurements of artificial three-phase short circuit test in 2005 in North East Power Grid of China, this paper analyzes and compares the uncertainties of the composite load model and static load model, by using second-order PCM approximation function. Cases study indicates that PCM is suitable and feasible for uncertainty analysis in dynamics of power system.