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CAREER: A Distributed Decision-Making System for Operating a Smart Grid

CAREER: A Distributed Decision-Making System for Operating a Smart Grid
职业:用于运营智能电网的分布式决策系统
批准号:
1150555
负责人:
Yong Fu
金额:
$40.0万
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
项目状态:
已结题
起止时间:
2012-03-15 至 2018-02-28

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中文摘要
翻译
摘要:本研究的目的是探索一种有效运行智能电网的分布式决策系统,该系统被设想为包含三个层次,“微电网”,“宏电网”和“巨电网”。该方法包括三个基本组成部分:决策框架、决策评估和决策方法。决策框架具有明显而独特的属性,包括自主性、可伸缩性、竞争性、兼容性、灵活性、协作性和可扩展性。决策评估使用可测量的智能指标来评估决策框架在经济、排放、效率、利用率和可靠性方面的表现。决策方法实现建模、单元决策、系统决策和集成,以实现具有广泛分布能源资源的经济高效、高可靠和可持续的智能电网。智力价值:提出的研究解决了分布式能源大规模部署所带来的能源、环境和经济挑战,并有能力评估它们在一系列运行条件下对智能电网性能的影响。所提出的决策方法采用先进的分解和协调策略,结合智能电网运行的随机特征,克服了大规模决策问题的计算复杂性。更广泛的影响:拟议研究的成功将大大加强美国的经济和能源安全,因为从国外进口的能源减少了,减少了排放,提高了所有经济部门的能源效率。拟议中的项目将提高公众意识,并促进纳税人、监管机构、政治家、公用事业高管和市场参与者对智能电网运营复杂性的理解。研究成果将通过标准的学术手段传播。
英文摘要
CAREER: A Distributed Decision-Making System for Operating a Smart GridAbstract:The objective of this research is to explore a distributed decision-making system for effectively operating a smart grid which is envisioned as encompassing three levels, "microgrid", "macrogrid" and "megagrid". The approach includes three essential components: Decision Framework, Decision Assessment, and Decision Approaches. The decision framework has distinct and unique attributes including autonomy, scalability, competition, compatibility, flexibility, collaboration and extensibility. The decision assessment uses measurable smartness indicators to assess the performance of the decision framework in terms of economic, emissions, efficiency, utilization and reliability. The decision approaches implement Modeling, Unit Decision, System Decision, and Integration to enable a cost-effective, highly-reliable and sustainable smart grid with widely-distributed energy resources. Intellectual Merit: The proposed research addresses the energy, environmental and economic challenges caused by the large-scale deployment of distributed energy resources, and has the ability to assess their impacts on the performance of smart grid over a range of operating conditions. The proposed decision-making approaches use advanced decomposition and coordination strategies to incorporate stochastic features of smart grid operation and overcome the computational complexity of large-scale decision-making problems.Broader Impacts: The success of the proposed research will significantly enhance the economic and energy security of the United States due to reduced energy imports from foreign sources, reduced emissions, and improved energy efficiency of all economic sectors. The proposed project will increase public awareness and advance the understanding of the complexity of smart grid operations among ratepayers, regulators, politicians, utility executives, and market participants. Research results will be disseminated via standard academic means.
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会议论文
Smart Partitioning Based Large-Scale Power System Analysis on High-Performance Computing Platform: Modeling, Algorithms, and Computations
  • 批准号:
    1711449
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.3万
  • 财政年份:
    2017
  • 负责人:
    Yong Fu
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
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  • 依托单位: