A Hybrid Prediction Model for Damage Warning ofA hybrid prediction model for damage warning of power transmission line under typhoon disaster Power Transmission Line Under Typhoon Disaster

• Main Authors: Hou, Hui, Yu, Shiwen, Wang, Hao, Xu, Yan, Xiao, Xiang, Huang, Yong, Wu, Xixiu
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Typhoon; Power System Resilience
• Online Access: https://hdl.handle.net/10356/145708
• Institution: Nanyang Technological University

To bolster the resilience of power systems against typhoon disasters, this paper develops a holistic framework of wind disaster warning for transmission lines. This paper proposes a hybrid prediction model to quantify the transmission line damage probability under typhoon disaster based on extreme value type I probability distribution, Monte Carlo method, and Random Forest. Specifically, this paper uses the extreme value type I probability distribution and the Monte Carlo method to simulate the random wind field, and predict the damage probability of transmission lines under each wind field using the Random Forest method. This paper takes typhoon “Mangkhut” in 2018 as a case study, and compare the performance of the hybrid model based on random wind field with the Random Forest method under predicted and measured wind field. The results demonstrate that the hybrid model can effectively utilize wind speed data to obtain a more reliable prediction and achieves the best synthetic similarity to the actual damage situations.