Abstract
Power system loads have been proven to have a significant influence on power system stability, and their accurate modelling is essential for reliable assessment of dynamic system behaviour. This study first applies an efficient sensitivity analysis method, to rank power system load model parameters based on their influence on system voltage, frequency, and angular stability considering a range of load models, operating conditions, and parameter correlations. Following this, the required accuracy levels of identified critical parameters for different types of stability studies are determined. Finally, this study demonstrates the importance of modelling correlation between load model parameters on establishing the parameter accuracy requirements for different types of stability studies. The practical significance of the approach is in enabling power system operators to identify and focus on accurate (with specified accuracy) modelling of only a subset of loads while being confident that the accuracy of system stability studies will not be compromised.
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