2018 Hurricane Season: Social and Engineering Constructs for Uniquely Re-Energizing (SECURE) Hurricane-affected Grids: A Post-Hurricane Michael Effort on Designing Resilient Grids

该项目通过考虑系统工程、社会科学和现场数据的独特方面的融合，寻求解决方案，为受飓风影响地区的电网重新供电。具体而言，它将包括脆弱性（脆弱性）、可持续性和生存性（复原力）作为设计和操作的核心原则。这项工作的社会科学方法包括了解电网基础设施的感知障碍和好处，这些基础设施可以在极端天气事件和常规风暴中增加弹性。受飓风“迈克尔”影响的公用事业公司的参与使现场数据成为可能，这将在确定使用弹性微电网提出的解决方案方面发挥关键作用。佛罗里达狭长地带目前受影响的电网，加上对可靠电力供应的高度需求，提供了一个独特的机会，可以利用自力更生、本地和弹性的概念（如微电网）重新设计这一关键基础设施。在这方面，该小组将利用其在电力微电网领域的广泛工作，以正常和灾后恢复的运行模式为目标，满足向社区提供稳定、可靠和经济的电力供应的要求。这项工作将通过与当地人民广泛接触来考虑社会因素，包括受影响的弱势群体以及目前最积极参与救灾工作的人。这些信息将用于基于多标准的微电网优先设计，以最大限度地减少脆弱性，包括可持续性措施和增强弹性。这种设计电网的想法将为智能电力基础设施创造一个模板，特别是在大西洋沿岸和墨西哥湾地区，这样他们就可以为未来的飓风袭击做好准备。该团队包括工程师和一名行为心理学家，他们是电力系统设计和操作、弹性和可持续系统工程以及基于调查的方法来识别和量化障碍和利益的专家。与佛罗里达狭长地带的市政公用事业公司、波多黎各参与飓风玛丽亚相关重建工作的实体、一个国家实验室和国际学术机构的合作加强了我们的团队。该RAPID提案的重要和变革性组成部分是：(a)让当地社区和公用事业公司参与评估电力供应需求；(b)救济/恢复提供者参与该领域协调解决办法；(c)使用基于多标准的优先导向方法设计专门的微电网；(d)共同优化设计目标，包括微电网的脆弱性、可持续性和弹性；(e)创建飓风易发电网恢复计划模板。我们将通过利用从地面收集的真实数据，基于合理的数学和工程设计和操作原则，在现实测试系统上建模和模拟，并为未来在该领域的实施提出验证技术，来实现该RAPID提案的目标。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。

This project seeks solutions for re-energizing the electricity grid in hurricane-affected regions bysynergistically considering the convergence of unique aspects of systems engineering, social science, andfield data. Specifically, it will include fragility (vulnerability), sustainability, and survivability (resilience)as the core principles of design and operation. The social science approach to this work includesunderstanding the perceived barriers and benefits of grid infrastructure that can increase resilience duringextreme weather events and routine storms. Field data, enabled by the participation of a utility affected byHurricane Michael, will play a crucial role in defining the solutions proposed using resilient microgrids.The currently affected electric grid in the Florida panhandle, combined with the heightened need forreliable access to electricity, provides a unique opportunity to re-engineer this critical infrastructure usingself-reliant, local, and resilient concepts such as the microgrid. In that regard, the team will use itsextensive body of work in the field of electric power microgrids, aimed at normal and disaster-recoverymodes of operation, to fulfill the requirements of a stable, reliable, and economical source of electricitysupply to communities. The work will consider social factors by extensive engagement with the people onthe ground including the more vulnerable populations affected along with those most involved in currentefforts in providing relief. This information will be used in a multi-criteria based prioritized design ofmicrogrids for minimizing fragility, including sustainability measures, and increasing resilience. This ideaof engineering the grid will create a template for Smart electric infrastructures, especially in the Atlanticcoast and Gulf of Mexico regions, so that they can all become prepared for future onslaughts fromhurricanes. The team includes engineers and a behavioral psychologist that are experts in electrical powersystems design and operation, resilient and sustainable systems engineering, and surveys-basedapproaches to identification and quantification of barriers and benefits. Collaborations with a municipalutility from the FL panhandle, entities engaged in Hurricane Maria related rebuilding efforts in PuertoRico, a national lab, and an international academic institution strengthen our team.The significant and transformative components of this RAPID proposal are: (a) engagement of localcommunities and utility to assess electricity supply needs; (b) engagement of relief/recovery providers inthe area for coordinating solutions; (c) design of specialized microgrids using multi-criteria basedpriority-oriented approaches; (d) co-optimization of design objectives including fragility, sustainability,and resilience of microgrids; and, (e) creation of template for resilience plan for hurricane-prone electricgrids. We will achieve the goals of this RAPID proposal by utilizing real data gathered from the ground,basing our design and operation principles on sound mathematics and engineering, modeling andsimulating on realistic test systems, and proposing validation techniques for future implementation in thefield.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.