Uncertainty Analysis of Transmission Line with Fuzzy Dynamic Thermal Rating

Dynamic Thermal Rating (DTR), which integrates the weather conditions existing on line ampacity to optimally utilize the overhead line capacities while not endangering their health. The permissible current of conductors forecasts based on projected weather conditions in certain oncoming time periods. Because of the continual changes in meteorological conditions, sampling stations are very restricted for large line spans, and the measurements have intrinsic errors. In DTR calculation, uncertainties must be adequately considered. In this paper, a fuzzy theory is adopted as an effective and easy approach to model the existing uncertainties in DTR calculations. In the proposed model, weather variables, such as wind speed, wind direction, ambient temperature, and solar hour angle, is taken from real databases. The obtained results reinforce the effectiveness of the fuzzy model. Modelling the DTR calculation uncertainties would allow system operators to make decisions on DTR.