课题基金 / 基金详情

Adaptive Techniques for Optimizing Power Flows in Uncertain Energy Processing Systems

Adaptive Techniques for Optimizing Power Flows in Uncertain Energy Processing Systems
优化不确定能源处理系统中功率流的自适应技术
批准号:
0601256
负责人:
Aleksandar Stankovic
金额:
$24.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-06-01 至 2009-05-31

项目摘要

项目成果

Aleksandar Stankovic的其他基金

相似基金

相关文献

中文摘要
翻译
优化不确定能源处理系统中功率流的自适应技术(提案编号ECS- 0601256)PI:A。摘要本研究将发展一个整体架构与特定工具,以进行多相能量处理系统之非线性负载之多准则分析。具体而言,PI将开发一个自适应程序来处理参数不确定性,并将分析扩展到瞬态操作。这些发展将提供一个定量的基础,评估可实现的性能在大类的能源处理系统,这反过来又将作为输入到基于模型的工程设计。智力优点:用于分离功率的有功和无功分量的统一希尔伯特空间框架为配备基于电力电子的补偿器的交流电力系统中的应用提供了理论基础,这些应用包括商业建筑、为敏感负载服务的高性能工业和配电系统、现代化的电动船舶和飞机。这将影响分布式发电网络的分析和设计,并可能在其他应用中证明是相关的,从未来的混合动力汽车到能量受限的便携式电子产品和功率MEMS。更广泛的影响:该研究项目将有助于统一系统和能源工程、自适应信号处理和应用数学领域的知识。PI正在以模块的形式编写教材,可纳入能源工程和信号处理的研究生和本科生课程。该提案包括计划通过教师研究经验(RET)补充,让对能源效率感兴趣的高中教师参与进来。
英文摘要
Adaptive Techniques for Optimizing Power Flows in Uncertain Energy Processing Systems(Proposal No. ECS- 0601256)PI: A. StankovicAbstractThis research will develop an overall framework and specific tools for multi-criterial analysis of polyphase energy processing systems with non-linear loads. Specifically, the PIs will develop an adaptive procedure for dealing with parametric uncertainties, and extend the analysis to transient operation. These developments will provide a quantitative basis for assessment of achievable performance in large classes of energy processing systems, which in turn will serve as inputs to model-based engineering design. Intellectual merit: A unified Hilbert space-based framework for separating the active and reactive components of power provides a theoretical foundation for applications in ac power systems equipped with power electronics-based compensators - commercial buildings, high-performance industrial and distribution systems serving sensitive loads, modern more electric ships and aircraft. This will impact analysis and design of networks incorporating distributed generation, and may prove relevant in other applications, from future hybrid road vehicles to energy-constrained portable electronics and power MEMS. Broader impact: This research project will contribute to unification of knowledge in the areas of system and energy engineering, adaptive signal processing and applied mathematics. The PIs are developing teaching materials in the form of modules that can be included into graduate and undergraduate courses in energy engineering and signal processing. The proposal includes plans to involve high school teachers interested in energy efficiency through a Research Experience for Teachers (RET) supplement.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: CPS: Medium: Data Driven Modeling and Analysis of Energy Conversion Systems -- Manifold Learning and Approximation
  • 批准号:
    2223986
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2023
  • 负责人:
    Aleksandar Stankovic
  • 依托单位:
Collaborative Research: Information Geometry for Model Verification in Energy Systems with Renewables
  • 批准号:
    1710944
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.97万
  • 财政年份:
    2017
  • 负责人:
    Aleksandar Stankovic
  • 依托单位:
Equation-Free Approach to System-Level Dynamic Modeling in Electric Energy Processing
  • 批准号:
    1137880
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $18.71万
  • 财政年份:
    2011
  • 负责人:
    Aleksandar Stankovic
  • 依托单位:
Equation-Free Approach to System-Level Dynamic Modeling in Electric Energy Processing
  • 批准号:
    0801415
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2008
  • 负责人:
    Aleksandar Stankovic
  • 依托单位:
国内基金
海外基金
EstimatingLarge Demand Systems with MachineLearning Techniques
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    IoshuaAlex
  • 依托单位: