Research on AHP-based Multi-factor Medium Voltage Distribution Network Line Risk Quantitative Assessment Method

Abstract

In order to improve the risk management and control methods of distribution network and safe and reliable operation, according to the influencing factors of distribution network re-tripping and the harm degree of power outages, firstly, the machine learning algorithm is used to predict the possibility of distribution network tripping, and then combined with the analytic hierarchy process to determine the distribution The weight of each influencing factor of the network risk is calculated to obtain the probability of re-tripping of the distribution network under the combined effect of different influencing factors. Then, by calculating the value of the power outage hazard on different lines, the risk of re-tripping of the distribution network is quantified using the definition of risk quantification. Finally, the feasibility of the method to quantify the risk of line operation is verified by using high-frequency re-hopping lines in a certain area. The example verification results show that: using this method can effectively evaluate distribution network line risks and can provide decision support for distribution network risk management and control.