Real-time Evaluation Model of Power Line Fault Probability based on Multiple Meteorological factors

In this paper we study the power line fault probability considering various meteorological factors. The calculation of the real-time fault probability of transmission lines is an important part of on-line risk assessment and real-time reliability calculation of power system. First, we study the fuzzy member function of various factors. Uncertainty theory is adopted to determine the weight coefficient of each layer, combined with fuzzy evaluation method. Second we collect actual data to simulate the model. The quantitative model of each monitoring quantity is established. Finally, We verified our model in actual weather data and power line malfunction probability data. The experimental results show that the proposed method is effective and promising in prevent such incident.