CAREER: Data-driven dynamic adaptive optimization for next generation power system operation

这个教师早期职业发展计划（Career）项目的目标是为未来电力系统的运行创建一套新颖的优化模型和算法。该方法是：(1)开发高效且稳健的算法来优化潮流和电网拓扑，这将比最先进的方法更快，更准确，更具可扩展性；(2)开发利用大量数据对电力系统不确定性建模的新技术；(3)开发具有大量可再生能源、需求响应和分布式发电资源的电力系统实时运行的决策算法。该项目的智力优势在于：(1)对涉及网络的一类广泛的硬优化问题的一些关键数学结构有了新的见解和理解，这些问题是最优潮流、网络拓扑控制和动态决策所固有的；(2)利用这些数学理解为上述问题设计严格而有效的算法。如果成功，这项研究不仅将为电网的运行提供变革性的技术，而且还将加强电力工程和工业运行工程之间的智力联系。该项目将创造下一代操作工具来管理未来的电网，帮助降低电力系统的运营成本，并提高电力系统的可靠性和灵活性，从而直接惠及整个社会。该项目的方法学贡献将为电力系统以外的应用提供新的工具，例如水和天然气网络的操作以及相互关联的能源系统的协调。PI将积极寻求机会，将电力工业、学术界、政府和国家实验室聚集在一起，形成协同讨论和合作，开发电力能源系统的分析方法。PI还将开发新的教育课程和外展活动，为国家基础设施行业培养新一代多学科劳动力做出贡献。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) project is to create a set of novel optimization models and algorithms for the operation of future electric power systems. The approach is to (1) develop efficient and robust algorithms for optimizing power flow and power network topology, which will be significantly faster, more accurate, and more scalable than the state-of-the-art approaches; (2) develop new techniques for harnessing large amount of data for modeling uncertainties in power system; (3) develop decision making algorithms for the real-time operation of power systems with substantial renewable, demand response, and distributed generation resources. The intellectual merits of the project lie in (1) the development of new insights and understanding of some key mathematical structures of a broad class of hard optimization problems involving networks, which are intrinsic to optimal power flow, network topology control, and dynamic decision making, and (2) leveraging these mathematical understanding to design rigorous and efficient algorithms for the mentioned problems. If successful, this research will not only provide transformative technologies for the operations of power grid, but will also strengthen intellectual ties between power engineering and industrial & operations engineering. The project will directly benefit the society at large by creating the next generation of operational tools to manage the future power grids, to help reduce power system operational cost, and to increase power system reliability and flexibility. The methodological contributions of the project will provide new tools for applications beyond electric power systems, such as for the operation of water and natural-gas networks and coordination of interconnected energy systems. The PI will actively pursue opportunities to bring power industry, academia, government, and national labs together to form synergistic discussions and collaborations on developing analytical methods for electric energy systems. The PI will also develop new education curriculum and outreach activities to contribute to the development of a new generation of multidisciplinary workforce for the nation's infrastructure industry.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.