Abstract
Probability distribution model can affect the extreme value of standard ice thickness on conductors of transmission lines for different return periods. This paper discusses the impact of three probability distribution models on calculation of standard ice thickness, which are Pearson III distribution model (P-III), generalized extreme value distribution model (GEV), and generalized Pareto distribution model (GPD), respectively. The historic icing data have been collected in Lvcongpo Mountain from Hubei province, including icing data from north-south direction, west-east direction, bigger data from two directions, and smaller data from two directions. The analyzing results indicate that GPD is more suitable than P-III and GEV for the icing data collected from Lvcongpo Mountain, which is helpful to reasonably determine the design ice thickness of conductors of transmission lines.
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