A Method and System for Determining the Seismic Resilience of Mains Power Systems Based on Multidimensional Data Analysis
By employing multidimensional data analysis methods, a database for assessing earthquake damage to urban power systems is constructed. By combining ground motion, facility vulnerability, and socioeconomic data, the power supply shortfall rate and repair costs are dynamically calculated. This addresses the shortcomings of existing technologies in assessment and enables efficient post-disaster recovery and risk management of urban power systems.
Patent Information
- Application Number
- CN202510628690.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-15
- Publication Date
- 2026-01-06
- Estimated Expiration
- 2045-05-15
AI Technical Summary
Existing technologies fail to effectively integrate ground motion, facility vulnerability, topographic conditions, and socioeconomic factors when assessing the seismic risk of urban power systems. They also lack dynamic modeling capabilities, making it difficult to quantify the economic losses and social stability risks associated with power outages, thus affecting post-disaster recovery efficiency and resource optimization.
Using multidimensional data analysis methods, an earthquake damage assessment database is constructed. By combining ground motion parameters, power facility vulnerability functions, topographic elevation models, and socioeconomic data, the power supply gap rate and repair costs are dynamically calculated. The power supply restoration process under multiple scenarios is simulated, economic losses and social stability risks are quantified, and risk zoning and repair strategies are generated.
It has achieved comprehensive assessment of the entire county and multiple voltage levels, improved the accuracy and adaptability of the assessment, dynamically quantified the impact of terrain and socio-economic factors, supported multi-scenario simulation, optimized resource scheduling, and enhanced the resilience and emergency management capabilities of the power system.