CIVIC-PG Track A: Electric Network Disaster Mitigation for Utilities Serving Rural Communities (ENDURE)

气候变化导致极端天气事件增加，对电网（EPN）造成过度破坏。这造成长时间的停电，造成严重的社会和经济后果，特别是对资源有限的农村公用事业。为了减轻这种不利影响，该项目将引入一种新的数字基础设施，以改变为农村社区服务的epn的复原力，允许采取适当的预防和纠正行动，重点是适应气候变化。目前，在服务不足的公用事业公司中，解决缺乏能够在自然灾害期间代表真实电力系统性能的高保真平台的问题，并将当前和未来的灾害数据与社区一级的风险和恢复力措施联系起来，是一个高度优先考虑的问题。因此，该项目的任务和活动的总体目标是引入、测试和建立一种新型的数字基础设施，使农村社区的公用事业能够规划气候变化，最大限度地减少自然灾害的后果，并尽快从灾害中恢复过来。该项目将通过EPN弹性领域的三个主要进展产生新的知识：(1)将实物资产和电网模型联系起来。具体而言，该项目将使用基于多源数据的方法，根据捕捉极端天气事件的气候因素，创建EPN基础设施资产的关键物理属性。(2)完善天气相关事件下epn风险评估所需的数据源。为此目的，本项目将生成在研究区域观测到的灾害类型（例如，龙卷风、旋风、暴风雪和洪水）的数据和支持模型。(3)建立考虑气候变化效应和气候适应策略的动态模拟平台。研究结果将为通过有效的数据分析实现定量决策支持工具开辟新的领域。这将为根据利益攸关方的需求和优先事项制定有效的短期和长期韧性投资战略铺平道路。他的项目是公民创新挑战赛的一部分，该挑战赛是由国家科学基金会、能源部车辆技术办公室、国土安全部科学技术局和联邦紧急事务管理局合作的。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The changing climate is leading to increased extreme weather events that cause excessive damage to the electric power network (EPN). This creates prolonged outages with serious social and economic consequences, especially to rural utilities with limited resources. To alleviate such adverse impacts, this project will introduce a new digital infrastructure that transforms the resilience of the EPNs that serve rural communities, allowing appropriate preventive and corrective actions with a focus on climate adaptation. There is currently a high priority among underserved utilities to address the absence of high-fidelity platforms capable of representing real power system performance during natural hazards and connecting current and future hazard data to the measures of risk and resilience at the community level. Thus, the overarching goal of the project’s tasks and activities is to introduce, test, and establish a novel digital infrastructure that will enable utilities in rural communities to plan for changing climate, minimize the consequences of natural disasters, and recover from them as fast as possible.This project will generate new knowledge with three major advancements in the field of EPN resiliency: (1) Linking physical assets and power network models. Specifically, this project will use a multi-source data-based approach to create the key physical properties of EPN infrastructure assets based on the climatic factors that capture extreme weather events. (2) Improving the data sources required for the risk assessment of EPNs under weather-related events. For this purpose, this project will generate the data and supporting models for the types of hazard observed in the study region (e.g., tornados, derechos, blizzards, and floods). (3) Establishing a dynamic simulation platform to account for climate change effects and climate adaptation strategies. The outcome will open new frontiers in quantitative decision-support tools enabled through efficient data-enabled analyses. This will pave the way for effective short- and long-term resilience investment strategies based on the needs and priorities of the stakeholders.his project is part of the CIVIC Innovation Challenge which is a collaboration of NSF, the Department of Energy's Vehicle Technology Office, and the Department of Homeland Security's Science and Technology Directorate and Federal Emergency Management Agency.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.