A flame combustion model-based wildfire-induced tripping risk assessment approach of transmission lines

• DOI: 10.3389/fenrg.2024.1330782
• Publication Date: 2024-01-19T09:12:01Z
• Authors: Enze Zhou; Lei Wang; Ruizeng Wei; Shuqing Liu; You Zhou
• Keywords: Tripping

With the intensification of global climate change, frequency wildfires has markedly increased, presenting an urgent challenge in assessing tripping failures for power systems. This paper proposes innovative method to evaluate spatial wildfire-induced risk transmission lines based on a flame combustion model. Firstly, Bayes theory is employed assess probability wildfire occurrence. Subsequently, Wang Zhengfei’s model utilized estimate potential height along corridor. Thirdly, insulation breakdown line calculated relative difference between and line. Finally, then determined by combining occurrence risk. A case study conducted Guizhou province, China validates accuracy proposed Utilizing ArcGIS, distribution visualized enhance efficiency operation maintenance. The results indicate that over 80% incidents occurred areas with probabilities exceeding 50%.