Mobility-As-A-Service for Resilience Delivery in Power Grids: Stochastic Programming Advancements under Decision-Dependent Uncertainties

电网经常受到极端紧急情况的影响，可能导致社区断电，并对健康和公共安全构成严重威胁。该NSF项目旨在提供一种新的决策模式来部署移动电源(例如移动储能系统、移动应急发电机、电动汽车和电动公交车)，以增强社区和关键基础设施在面临极端事件时的应变能力。该项目将带来变革性的变化，在灾难发生前和灾难期间做出移动电力资源的分配和调度决策(预定位、路由和调度)时，如何管理不确定性。这将通过考虑不确定因素来实现，这些不确定因素不能简单地随着时间的推移而解决，但其解决办法取决于是否实际作出了部署这些灵活资源的决定，即依赖于决策的不确定因素。该项目的智力优势包括设计新的数学优化模型和便捷的方法来解决所提出的问题，促进电网中的移动性即服务的弹性。该项目的更广泛影响包括组织关于电力系统高级随机编程的跨学科研讨会系列，本科生女性/少数族裔学生参与项目研究，通过出版物传播项目结果，并向华盛顿大都市地区的K-12学生展示研究成果。该项目超越了具有外部不确定性的传统服务恢复问题，通过开发新的风险中性和风险厌恶的随机优化问题，以及包含决策相关不确定性(DDU)的服务恢复重新公式，打破了当前的做法。由于这类模型很难求解，通常采用随机混合整数非线性(多项式)规划(MINLP)问题的形式，因此建议的研究还集中于开发计算高效的方法来求解基于移动即服务的弹性的DDU嵌入的优化模型。所提出的模型将考虑移动电源与配电网中各种不同种类的灵活资源的协调、网络重构实践、维修人员以及运输系统的约束和调度。完成这项计划需要一种跨学科的方法，结合数学规划和电力系统工程学科的关键方法，从而实现多个研究领域的融合。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Power grids are constantly subject to extreme emergencies that may leave communities without electricity and are critical threats to health and public safety. This NSF project aims to offer a new decision-making paradigm to deploy mobile power sources (e.g., mobile energy storage systems, mobile emergency generators, electric vehicles, and electric buses) for enhancing the resilience of communities and critical infrastructures when facing extreme events. The project will bring transformative change to how uncertainties are managed when making allocation and dispatch decisions of mobile power resources (pre-positioning, routing, and scheduling) before and during disasters. This will be achieved by accounting for uncertainties that cannot be resolved simply with the passage of time, but whose resolution depends on whether or not the decision to deploy these flexible resources is actually made, i.e., decision-dependent uncertainty. The intellectual merits of the project include devising new mathematical optimization models and expedient methods to solve the proposed problems promoting mobility-as-a-service for resilience in power grids. The broader impacts of the project include organizing an interdisciplinary seminar series on Advanced Stochastic Programming for Power Systems, undergraduate female/minority student involvement in the project research, dissemination of the project findings through publications, and research showcase to K-12 students in the Washington metropolitan area.Going beyond the traditional service restoration problems with exogenous uncertainties, this project disrupts the current practice by developing new risk-neutral and risk-averse stochastic optimization problems and reformulations for service restoration that incorporate decision-dependent uncertainty (DDU). Due to the difficulty to solve such models—that typically take the form of stochastic mixed-integer nonlinear (polynomial) programming (MINLP) problems, the proposed research also focuses on the development of computationally efficient methods to solve DDU-embedded optimization models on mobility-as-a-service for resilience. The proposed models will account for the coordination of mobile power sources with a variety of heterogeneous flexible resources in power distribution grids, network reconfiguration practices, repair crews, and transportation system constraints and schedules. The completion of this plan requires an interdisciplinary approach combining key methodologies from the mathematical programming and power systems engineering disciplines, thereby enabling convergence of multiple research areas.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.