Over-temperature Risk Assessment of Overhead Conductor with Low Time Resolution of Meteorological Data

Abstract

IEEE-738 standard model is widely used to estimate overhead conductor temperature. However, the accuracy of this model is affected by the time resolution of environment meteorological data. Generally, the number of estimated results reduces and the discrete step-length of IEEE standard model increases with the decreasing of the time resolution. Therefore, the estimated accuracy is decreased and the highest conductor temperature is easy to be missed. As a result, the over-temperature risk of conductor is raised. For this reason, an approach, based on the IEEE standard model, the random characteristics of meteorological data and principle of Monte Carlo simulation, is proposed to assess the over-temperature risk of overhead conductor with the low time resolution of meteorological data. The validity of the proposed approach is verified by simulation results.