CAREER: Resiliency of Electric Power Networks under Wind Loads and Aging Effects through Risk-Informed Design and Assessment Strategies

该教师早期职业发展计划（CAREER）奖的目的是推进输电线路系统设计和评估的科学知识，目的是提高电力网络（EPN）在风暴和老化影响下的弹性。由于飓风和暴风雪等极端天气事件的频率和强度增加，停电的范围和数量激增，这突出了提高EPN弹性的必要性。老化的EPON支持基础设施的故障，特别是在这些天气事件期间，可能导致广泛的服务中断，紧急响应延迟和重大的经济损失。这项研究将对国家繁荣和福利产生更广泛的影响，即，社区和区域的复原力，因为它将满足国家对关键民用基础设施（如EPN）在其预期使用寿命内的复原力设计日益增长的需求。该研究将调查的关键属性有助于EPN内的传输系统的弹性，并将开发一个强大的，风险知情的设计方法，以增加这种弹性。这将通过系统地将单个输电线路组件的物理性能评估纳入网络级功能分析来实现。该项目将包括一项综合研究和教育计划，以培训下一代自然灾害工程师和研究人员，其中包括以下内容：（1）高中生互动教育部分，以培养他们对自然灾害工程领域的兴趣，（2）新课程，以培养未来工程师设计和管理抗灾基础设施，（3）活动，包括一个多层次的指导方案，以招募和留住自然灾害工程领域的妇女和代表性不足的少数民族学生，以及（4）大学-产业伙伴关系，为研究战略提供咨询意见，并促进研究成果的实施。 该项目的数据将在NSF支持的自然灾害工程研究基础设施（NHERI）数据库（https：//www.example.com）中存档和共享。www.DesignSafe-ci.org 研究成果将促进EPN设计的范式转变，EPN被认为是最关键的空间分布式基础设施系统之一。 从多重威胁的角度（风暴和老化效应）来看，该项目将有助于提高电子产品网络在组件和系统层面的弹性。这将通过以下方式实现：（1）在大规模实验测试支持下的高保真计算模型的基本进展，（2）与负载需求变化相关的不确定性研究（由于极端天气事件）和结构能力（由于老化机制），（3）表征从组件故障到网络中断的多个层处的级联效应，（4）在区域自然灾害和环境压力下开发EPN的元模型，以及（5）将系统可靠性分析集成到优化平台中，以捕获可能故障的后果并相应地调整设计要求。该项目将使用美国国家科学基金会支持的佛罗里达国际大学的NHERI风墙设施进行实验工作。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 objective of this Faculty Early Career Development Program (CAREER) award is to advance the scientific knowledge underlying the design and assessment of transmission line systems, with the goal of increasing the resiliency of electric power networks (EPNs) under windstorm and aging effects. The need for improving EPN resiliency is underscored by the surge in the extent and number of power outages due to the increasing frequency and intensity of extreme weather events such as hurricanes and blizzards. The failure of aging EPN-supporting infrastructures, particularly during these weather events, can lead to widespread service disruptions, delays in emergency response, and significant economic losses. This research will have significant broader impacts on national prosperity and welfare, i.e., community and regional resiliency, as it will address the growing national need for the resilient design of critical civil infrastructures, such as EPNs, over their expected service life. The research will investigate the key attributes contributing to the resiliency of a transmission system within an EPN and will develop a robust, risk-informed design methodology to increase this resiliency. This will be achieved through a systematic incorporation of the physical performance assessment of individual transmission line components into a network-level functionality analysis. The project will include an integrated research and education plan, to train the next generation of natural hazards engineers and researchers, consisting of the following elements: (1) interactive educational components for high school students to foster their interest in the field of natural hazard engineering, (2) new curricula to prepare future engineers for the design and management of resilient infrastructures, (3) activities, including a multi-tiered mentoring program, to recruit and retain women and underrepresented minority students in the field of natural hazard engineering, and (4) university-industry partnerships to advise the research strategy and facilitate implementation of the research findings. Data from this project will be archived and shared in the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) Data Depot (https://www.DesignSafe-ci.org). The research outcomes will foster a paradigm shift for the design of EPNs, which are recognized as one of the most critical spatially distributed infrastructure systems. With a multiple threat perspective (windstorm and aging effects), the project will contribute to enhancing the resiliency of EPNs at both component and system levels. This will be achieved by: (1) fundamental advances in high-fidelity computational models supported by large-scale experimental testing, (2) investigation of uncertainties associated with changes in loading demand (due to extreme weather events) and structural capacity (due to aging mechanisms), (3) characterization of cascading effects at multiple tiers from a component failure to a network outage, (4) development of metamodels for EPNs under regional natural hazards and environmental stressors, and (5) integration of a system reliability analysis into an optimization platform to capture the consequences of possible failures and adjust the design requirements accordingly. The project will use the NSF-supported NHERI Wall of Wind facility at Florida International University for the experimental work.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.