Dynamic risk assessment framework for fire of power critical infrastructure: The case study of UHV converter transformer

Abstract To enhance the fire protection level of critical infrastructure through scientific risk assessment, a dynamic risk assessment framework is proposed in this study. This framework, which was developed based on the principles and techniques of system safety engineering, caters to the unique features of critical infrastructure. The framework facilitates dynamic risk assessment of critical infrastructure and serves as a key driver for its advancement. Fault Tree Analysis is applied for the main failure analysis, which functioned to understand the causes of system failure and find the best way to control the risks. Event Tree Analysis is used to accident consequence analysis and simulated the accident process. Analytic Hierarchy Process is utilized for risk assessment indicators and weight calculation, with a novel approach to expert weight allocation and a dynamic indicator system. Based on the aforementioned methods, a systematic assessment of fire risk is conducted for the ultra‐high voltage (UHV) converter transformer by identifying potential hazards, main failures, and accident consequences. A dynamic indicator system is then established for the assessment of fire risk associated with the UHV converter transformer.