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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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636
Physical-cyber-human framework-based resilience evaluation toward urban power system: Case study from China
Fengjuan Wang1,2, Jinyue Yan2, Jiuping Xu1
1Business School, Sichuan University, Chengdu, China.
Summary
Extreme weather challenges power systems, driving demand for resilient infrastructure. This study introduces a framework evaluating urban power system resilience across physical, cyber, and human domains, finding Shanghai most resilient and Chongqing facing significant challenges.
Area of Science:
- Engineering
- Environmental Science
- Computer Science
Background:
- Extreme weather events increasingly disrupt power systems.
- There is a growing need for resilient power infrastructure to ensure reliability.
Purpose of the Study:
- To establish a multicriteria resilience evaluation framework for urban power systems.
- To analyze power system resilience from a physical-cyber-human system perspective.
Main Methods:
- Proposed four core capacities and 15 resilience evaluation indicators (11 objective, 4 subjective).
- Employed fuzzy hesitant judgment and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for expert consensus.
- Validated the framework using data from four Chinese municipalities (Shanghai, Beijing, Chongqing, Tianjin).
Main Results:
- Shanghai demonstrated the highest power system resilience.
- Chongqing's physical infrastructure poses the greatest challenge during extreme events.
- Identified specific resilience enhancement strategies for physical, cyber, and human domains tailored to each city.
Conclusions:
- The developed framework offers a practical tool for evaluating and enhancing urban power system resilience.
- Findings provide actionable insights for governments and utilities to improve grid stability against extreme weather.
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