CAREER: Systematic Multi-scale Integration of Physics-based and Data-driven Models of Distributed Resources for Enabling Ubiquitous Energy Storage Services in Power Systems

该项目的目标是研究一种新的建模范式，该范式无缝集成了基于物理和数据驱动的分布式资源模型，用于在电力系统中提供储能服务。该方法包括：（1）定义分布式资源的关键交互变量，允许模块化和时空聚合;（2）引入电力系统的多层结构保持模型;（3）制定基于性能的监管定价，结合能源定价，将经济激励与各种储能供应商的技术性能相结合;（4）建立基于性能的监管定价模型。（4）使用真实世界的数据测试所提出的建模和操作算法。智力优点（1）该建模框架依赖于识别内部和交互变量的关键思想，这允许分布式资源的基于物理和数据驱动的模型的模块化集成。(2)将引入多尺度能量存储服务的统一概念，其建立在不同时间粒度的交互变量上。(3)将制定和测试基于性能的频率调节市场设计，使经济激励与储能供应商的技术性能保持一致。更广泛的影响该项目将对未来的工程可持续电力服务产生变革性的影响。一个关于电能系统工程和经济学的多学科课程将提供给德克萨斯州和大草原视图的学生。PI将指导本科生，特别是代表性不足的群体，开发一个基于智能手机的应用程序，以提高学生？对电能的兴趣。作为创始顾问，PI将积极参与德克萨斯州A M能源俱乐部组织的社区外展活动。

The objective of this project is to investigate a novel modeling paradigm, which seamlessly integrates physics-based and data-driven models of distributed resources for provision of energy storage services in power systems. The approach is to (1) define key interaction variables for distributed resources which allow modularity and spatio-temporal aggregation; (2) introduce a multi-layered structure-preserving model of power systems; (3) formulate performance-based regulation pricing, which, combined with energy pricing, aligns economic incentives with technical performances of various energy storage providers; and (4) test the proposed modeling and operating algorithms using real-world data.Intellectual Merit(1) This modeling framework rests on the key idea of identifying internal and interaction variables, which allows modular integration of both physics-based and data driven models of distributed resources. (2) A unifying concept of multi-scale energy storage services will be introduced, which is built upon the interaction variables at different temporal granularity.(3) A performance-based frequency regulation market design will be formulated and tested, which aligns economic incentives with the technical performances of energy storage providers. Broader ImpactThis project will have transformative impact on engineering sustainable electricity services of the future. A multidisciplinary course on engineering and economics of electric energy systems will be offered to students at Texas A&M and Prairie View A&M. The PI will mentor undergraduate students, in particular under-represented groups, to develop a smart phone-based application to raise students? interest in electric energy. As the founding advisor, the PI will actively participate in community outreach activities organized by Texas A&M Energy Club.