期刊
APPLIED ENERGY
卷 315, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2022.118824
关键词
Resilience Assessment; Resilience Enhancement; Integrated Electricity-Gas System; Multi-type Natural Disasters; Reusable Impact-Increment Database
资金
- NSFC of China
- EPSRC of UK [52061635103, EP/T021969/1]
- National Natural Science Foundation of China [52077150]
A planning-oriented resilience assessment and enhancement approach is proposed to efficiently deal with multi-type natural disasters, significantly improving computational efficiency. The results indicate that comprehensive resilience planning considering the diversity of natural disaster types can significantly improve system resilience.
A planning-oriented resilience assessment and enhancement approach is proposed that can efficiently deal with multi-type natural disasters. A unified disaster modelling framework is proposed to extract key information from various potential disaster scenarios, thus forming a disaster scenario database. The impact-increment-based enumeration method is applied, and a reusable impact-increment database is established to speed up the assessment process. The reusable database is also utilized to calculate component-level resilience indices and economic indices, so as to make enhancement strategies against potential disasters within planning time scale. Resilience assessment on an integrated electricity-gas system in Taiwan's coastal seismic statistical zone shows that the proposed method can significantly improve the computational efficiency as compared to existing methods. Numerical results indicate that the resilient planning considering the diversity of natural disaster types comprehensively improves the system resilience, which means it is not only concerned with the system performance under a single type of disaster. In addition, the most suitable resilience enhancement scheme with insufficient funds shall be developed according to the economic indices, instead of the component-level resilience indices that cannot balance the resilience enhancement effect with the implementation cost.
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