CAREER: Aggregation, estimation and control of distributed energy resources

职业：分布式能源的聚合、估计和控制

• 批准号: 1351900
• 负责人: Duncan Callaway
• 金额: $ 40万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-15 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1351900&HistoricalAwards=false
• 关键词: CAREER; Aggregation; estimation; control; distributed

Growing renewable generation capacity is leading to unprecedented variability and uncertainty in power system operations, and calls for more flexibility through balancing capacity, market products, and operating procedures. This effort seeks to develop a comprehensive framework and supporting theory to increase power system flexibility by developing the next generation of modeling and control strategies for electricity loads and storage. The major anticipated innovations are (1) new classes of models to characterize renewable generation and electricity demand at unprecedented spatial and temporal scales, (2) new tools to mathematically aggregate electricity loads and storage, (3) control formulations for load and storage that can be executed in real time and used for planning purposes and (4) pricing mechanisms that recognize the unique capabilities of controllable loads and storage and support payments that are equitable with conventional generators.The effort also aims to broaden awareness of tools to transform power system operations by engaging high school, vocational and university students via problem based learning and interdisciplinary curricula. The outreach efforts will directly address underrepresentation of ethnic groups and women in science and engineering via mentoring and introducing students to emerging energy systems concepts. The major intended outcomes of the proposed research are (1) to reduce transmission capacity needs, (2) to eliminate the need to build dispatchable generation capacity to manage variability and uncertainty from renewable sources and (3) to improve the efficiency of the supply side by reducing the need for combustion-based generation to operate at part load to provide reserves.

不断增长的可再生能源发电能力导致电力系统运行出现前所未有的可变性和不确定性，需要通过平衡容量、市场产品和运行程序来实现更大的灵活性。这项工作旨在开发一个全面的框架和支持理论，通过开发下一代电力负荷和存储建模和控制策略来提高电力系统的灵活性。 预期的主要创新是（1）在前所未有的空间和时间尺度上描述可再生能源发电和电力需求的新模型，（2）以数学方式聚合电力负载和存储的新工具，（3）可以实时执行并用于规划目的的负载和存储控制公式，以及（4）定价机制，识别可控负载和存储的独特功能并支持支付 这项工作还旨在通过基于问题的学习和跨学科课程吸引高中生、职业学生和大学生，扩大对改变电力系统运行工具的认识。 外展工作将通过指导和向学生介绍新兴能源系统概念，直接解决科学和工程领域少数民族和女性代表性不足的问题。拟议研究的主要预期成果是（1）减少输电容量需求，（2）消除建立可调度发电能力以管理可再生能源的可变性和不确定性的需要，以及（3）通过减少燃烧发电部分负荷运行以提供储备的需要来提高供应方的效率。