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增强了全球对改善东亚电力系统弹性的兴趣。弹性被定义为计划和准备、吸收、恢复和适应威胁的能力，它代表了工程系统在已知和未知压力下采取积极行动的能力。最近导致韩国多家核电站关闭的腐败事件表明，在衡量电网的恢复力时，必须考虑管理实践、公众对核电的关注、灾难应对方案等社会维度。然而，工程系统的复原力分析通常不包括社会维度，也不能衡量灾难规划、准备或适应。在开发出将社会和电力基础设施动态连接在一起的新方法之前，韩国的电网仍然是脆弱的。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弹性。将与弘益大学的复原力专家朴哲阳博士一起，收集有关发电、输电、配电基础设施的数据，建立韩国电网模型。为了建立韩国电力和灾害管理机构的网络模型，将采访韩国的弹性和电力专家。将对这些模型进行分析，以确定影响灾害规划和准备、吸收、恢复和适应的拓扑特征。此外，将对这两个模型进行分析，以确定社会机构与已建成基础设施之间的相互依赖关系，以确定可以减少未来灾害影响的资源和业务决策。总的来说，这个项目是朝着更好的分析工具和社会-生态-技术耦合弹性的验证理论迈出的第一步。美国国家科学基金会EAPSI奖与韩国国家研究基金会合作资助。

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.