CISE-MSI: RCBP-RF: S&CC: A Distributed Framework for Resource Availability Tracking and Decision Making for Power Systems During Natural Disasters

城市居民的生活质量取决于其基础设施的强大程度。城市基础设施最重要的方面之一是电网。当自然灾害发生时，部分电网会受损，无法正常运行。在当前的系统中，电网的每个组件的状态的信息由中央单元收集，该中央单元然后将继续向所有子系统发送控制信息以维持电网工作。该方案在自然灾害期间由于大量的故障而不起作用。这项工作将使用分布式算法在自然灾害条件下管理网格。该项目提出了一种基于区块链的电力系统资源可用性跟踪算法的开发，该算法即使在通信故障的情况下也可以跟踪电力系统组件的状态。此外，一个分层决策算法的实时电力系统运行在严重损害的条件下将开发。这将推动关键基础设施系统中物联网的发展，并将推动自然灾害期间电力系统弹性实时运行的算法开发。该分层决策算法将考虑动态孤岛效应，真实的实时地根据系统资源可用性和网络拓扑灵活性进行决策，为极端条件下电力系统分散运行提供了模型。这将反过来提高电力系统的复原力，从而减少自然灾害造成的经济损失，并改善遭受自然灾害的人们的生活质量。该项目将为不同关键基础设施系统的分散运作奠定基础，并提高其抵御自然灾害的能力。此外，该项目将涉及西班牙裔研究生和本科生研究人员，并产生跨学科的研究型教学模块，以提高学生在电力系统物联网应用方面的研究能力。该项目的成果将通过学校访问、外展活动、开放日向公众传播，并通过出版物和技术演示向研究界传播。此外，可在https://dresilientpower.uprm.edu/上找到一个公共网页，其中载有这项工作的信息和结果。该奖项将在整个项目期间以及至少两年之后继续维持。该项目部分由激励竞争研究的既定计划（EPSCoR）资助。该奖项反映了NSF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 quality of life for citizens in a city is determined by how strong its infrastructure is. One of the most important aspects of a city's infrastructure is the electric power grid. When a natural disaster occurs, parts of the electric grid become damaged and cannot properly function. In current systems, the information of the status of each component of the grid is collected by a central unit that will then proceed to send control information to all subsystems to maintain the grid working. This scheme does not work during natural disasters due to the large number of failures. This work will use distributed algorithms for managing the grid under natural disaster conditions. The project proposes the development of a blockchain-based power system resource availability tracking algorithm that can track the status of power system components even with communication failures. In addition, a hierarchical decision-making algorithm for real-time power system operation under severe damage conditions will be developed. This will advance the state of the art of Internet of Things in critical infrastructure systems and will advance algorithm development for resilient real-time power system operation during natural disasters. The proposed hierarchical decision-making algorithm will consider dynamic system islanding and make decisions based on system resource availability and network topology flexibility in the real time.The outcome of this research will provide models for decentralized operations of power systems under extreme conditions. This will in turn improve the resilience of power systems, which in turn reduce economic losses caused by natural disasters and improve the quality of life for people suffering from natural disasters. The project will set a foundation for the decentralized operations of different critical infrastructure systems and improve their resilience against natural disasters. In addition, this project will involve Hispanic graduate and undergraduate researchers and produce interdisciplinary research-oriented teaching modules to improve the students' research capability in Internet of Things applications in power systems. Results of this project will be disseminated to the general public via school visits, outreach activities, open houses, and to the research community via publications and technical presentations. In addition, a public web page containing information and results from this work can be found at https://dresilientpower.uprm.edu/ . It will be maintained for the duration of the project and at least two years beyond.This project is partially funded by the Established Program to Stimulate Competitive Research (EPSCoR).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.