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

职业：基于物理和数据驱动的分布式资源模型的系统性多尺度集成，以实现电力系统中无处不在的储能服务

• 批准号: 1150944
• 负责人: Le Xie
• 金额: $ 40万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1150944&HistoricalAwards=false
• 关键词: CAREER; Systematic; Multi; scale; Integration

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.

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，用于电力系统中储能服务的提供。该方法是：(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)制定基于绩效的调节定价，与能源定价相结合，使各储能供应商的经济激励与技术绩效相一致；(4)使用实际数据对所提出的建模和操作算法进行测试。智力优势(1)该建模框架基于识别内部变量和交互变量的关键思想，它允许分布式资源的基于物理和数据驱动模型的模块化集成。(2)基于不同时间粒度的交互变量，提出了统一的多尺度储能服务概念。(3)制定并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影响。德州农工大学和Prairie View农工大学将开设一门关于电力系统工程和经济学的多学科课程。PI将指导本科生，特别是代表性不足的群体，开发基于智能手机的应用程序来培养学生？对电能的兴趣。作为创始顾问，PI将积极参与由Texas A&amp；M Energy Club组织的社区外展活动。