EAPSI: Resilience of the South Korean electric grid to disasters: Development of socio-infrastructure network models

福岛核泄漏等灾难性事件加剧了全球对提高东亚电力系统弹性的兴趣。复原力被定义为计划和准备、吸收、恢复和适应威胁的能力，代表工程系统在已知和未知压力下采取积极行动的能力。最近导致多家韩国核电站关闭的腐败案件表明，在衡量电网的弹性时，必须考虑管理实践、公众对核电的担忧以及灾难协议等社会层面。然而，工程系统的复原力分析往往不包括社会层面，也不能衡量灾害规划、准备或适应。在开发出一种能够将社会和电力基础设施动态联系在一起的新方法之前，韩国电网在灾难面前仍将是脆弱的。该项目旨在创建韩国机构和电力基础设施的经验网络模型，以衡量相互依存的社会基础设施系统的复原力。与洪基大学的弹性专家JerYang Park博士一起，将收集有关发电、输电和配电基础设施的数据，以创建韩国电网的网络模型。将采访韩国的弹性和电力专家，以创建韩国电力和灾害治理和管理机构的网络模型。将对这些模型进行分析，以确定其影响灾难规划和准备、吸收、恢复和适应的拓扑特征。此外，将对这两种模型进行分析，以确定社会机构和已建基础设施之间的相互依存关系，以确定可以减少未来灾害影响的资源和运营决策。总体而言，该项目是朝着更好地分析复原力和验证社会-生态-技术复原力耦合理论的分析工具迈出的第一步。该NSF EAPSI奖是与韩国国家研究基金会合作资助的。

Catastrophic events such as the Fukushima nuclear meltdown have intensified global interest in improving the resilience of electric power systems in East Asia. Defined as the ability to plan and prepare for, absorb, recover from, and adapt to threats, resilience represents the ability of engineered systems to take positive action under known and unknown stress. Recent corruption cases that caused the shutdown of multiple Korean nuclear power plants demonstrate that social dimensions such as management practices, public concern for nuclear power, and disaster protocols must be considered when measuring the resilience of the grid. However, resilience analysis of engineered systems often does not incorporate social dimensions and cannot measure disaster planning, preparation, or adaptation. Until a new method is developed that can link social and electric power infrastructure dynamics together, Korea's electric grid will remain fragile to disaster. This project seeks to create empirical network models of Korean institutions and electric power infrastructure to measure the resilience of the interdependent socio-infrastructure system. With resilience expert Dr. Jeryang Park at Hongik University, data about generation, transmission, and distribution infrastructure will be collected to create a network model of the Korean grid.Korean resilience and electric power experts will be interviewed to create a network model of Korean electric power and disaster governance and management institutions. The models will be analyzed to determine their topological features that influence disaster planning and preparation, absorption, recovery, and adaptation. Furthermore, both models will be analyzed to determine interdependencies between social institutions and built infrastructure to identify resource and operations decisions that can reduce the impacts of future disasters. Overall, this project is a first step towards better analytical tools for resilience analysis and validated theories of coupled social-ecological-technological resilience. This NSF EAPSI award is funded in collaboration with National Research Foundation of Korea.