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CAREER: Aggregation, estimation and control of distributed energy resources

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:
$40.0万
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
项目状态:
已结题
起止时间:
2014-06-15 至 2020-05-31

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中文摘要
翻译
不断增长的可再生能源发电能力正在导致电力系统运行中前所未有的变动性和不确定性,并要求通过平衡容量、市场产品和操作程序来提高灵活性。这项工作旨在通过开发下一代电力负荷和存储的建模和控制策略来开发一个全面的框架和支持理论,以增加电力系统的灵活性。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类别;(2)在数学上汇总电力负荷和存储的新工具;(3)可实时执行并用于规划目的的负载和存储控制公式;(4)定价机制,承认可控负载和存储的独特能力,并支持与传统发电机公平的支付。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、职业和大学学生,扩大他们对改造电力系统运行工具的认识。外联工作将通过指导和向学生介绍新兴的能源系统概念,直接解决少数民族群体和妇女在科学和工程领域代表性不足的问题。拟议研究的主要预期结果是:(1)减少传输容量需求;(2)消除建立可调度发电能力的需求,以管理可再生能源的可变性和不确定性;(3)通过减少燃烧发电在部分负荷下运行以提供储备的需求,提高供应侧的效率。
英文摘要
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.
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CyberSEES Type 2: Achieving Clean Power System Flexibility: Sensing, Modeling, and Optimal Control
  • 批准号:
    1539585
  • 项目类别:
    Standard Grant
  • 资助金额:
    $119.99万
  • 财政年份:
    2015
  • 负责人:
    Duncan Callaway
  • 依托单位:
CPS: Synergy: Collaborative Research: Coordinated Resource Management of Cyber-Physical-Social Power Systems
  • 批准号:
    1239467
  • 项目类别:
    Standard Grant
  • 资助金额:
    $56.09万
  • 财政年份:
    2012
  • 负责人:
    Duncan Callaway
  • 依托单位:
Postdoctoral Research Fellowship in Biological Informatics for FY2001
  • 批准号:
    0107571
  • 项目类别:
    Fellowship Award
  • 资助金额:
    $10.0万
  • 财政年份:
    2001
  • 负责人:
    Duncan Callaway
  • 依托单位:
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