Probabilistic ranking of power system loads for voltage stability studies in networks with renewable generation

Power system voltage stability is a crucial aspect of power system study, and loads have a significant influence on it. This paper uses PV curves to rank the power system loads according to their influence on the voltage stability. The Monte Carlo simulation is used to generate uncertainties to reflect the stochastic behaviour of power systems. The ranking order is acquired after considering different loading conditions obtained from the annual loading curve. The distribution of critical points on the `PV nose curve' for the most important loads and least important loads in the network are used to verify the ranking. Different load models are applied to investigate the effect of load models on the critical point positions. The results show that load models have significant influence on the voltage collapse point.