Summary

This paper addresses power safety for high-voltage sensitive industrial users in parks with distributed photovoltaics and charging piles, where harmonics and voltage fluctuations pose risks of equipment failures, fires, and outages. A closed-loop framework is developed for hazard modeling, analysis, and preemptive identification. The methodology includes: a multidimensional coupling model linking electrical parameters, equipment status, and environmental factors; a T-S dynamic fault tree with Continuous-Time Markov Chains to characterize the temporal evolution of hazards; and a quantitative evaluation using Sobol's global sensitivity analysis to rank key risk factors. A case study in a precision manufacturing park validates the approach, and a digital-analog dual-driven detection and localization system achieved over 90% accuracy in hazard identification and source tracking. This research offers a model-driven framework enabling proactive risk warning and precise hazard localization in sensitive industrial environments.

Additional informations

Publication type Session Materials
Reference C6_11564_2026
Publication year
Publisher CIGRE
Country China, People's Republic of
Study committees
File size 814 KB
Price for non member 30 €
Price for member 30 €

Authors

ZHENG Bowen - China Electric Power Research Institute; ZHANG Jing - China Electric Power Research Institute; LIU Chang - China Electric Power Research Institute; PAN Mingming - China Electric Power Research Institute; GONG Feixiang - China Electric Power Research Institute; TONG Jie - China Electric Power Research Institute; MENG Liangze - China Electric Power Research Institute; YUAN Jindou - China Electric Power Research Institute

Keywords

Electric power safety hazards; multidimensional coupling modelling; dynamic fault tree; sensitivity analysis; digital twin; intelligent early warning; cloud-edge collaboration

Analysis of the causes and evolution mechanisms of high-voltage sensitive industrial customers’ power usage safety risks with the integration of emerging grid-connected entities