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CAREER: Stochastic Optimization and Coordinating Control for the Next-Generation Electric Power System with Significant Wind Penetration

CAREER: Stochastic Optimization and Coordinating Control for the Next-Generation Electric Power System with Significant Wind Penetration
职业:具有显着风穿透力的下一代电力系统的随机优化和协调控制
批准号:
0954938
负责人:
Wei Qiao
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-15 至 2016-07-31

项目摘要

项目成果

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中文摘要
翻译
目的:研究利用随机优化和协调控制来提高具有显著透风能力的下一代电力系统的稳定性、可靠性和经济性。该方法是:(1)利用基于概率的决策方法为电力系统的安全约束随机优化建立新的建模和优化框架;(2)通过新的风电场监控来提高风电场的稳态和暂态性能;(3)通过新的广域协调控制来提高整个电力系统的动态性能和稳定性。智力优势:通过创造新的优化和控制设计理念,该项目将增进对下一代电力系统关键运行问题的理解,并将导致更智能的电网,以提供更好的电力安全、效率和可持续性。除了电力系统,这项研究还将创建几个基本的框架和方法,适用于其他相互关联的、大规模的、随机的、动态的、复杂的系统的优化和控制。广泛的影响:该项目将通过研究生和本科生的研究和教学与K-12推广相结合,建立一个蓬勃发展和多样化的电力项目,这将为进入电力工程专业的年轻人提供一个独特的学习平台。该项目将建立多个国外研究、培训和交流项目,以促进电力工程教育和研究方面的国际合作。该项目的成果将进一步发挥风电的优势,实现全国20%的电力由风能提供,并将惠及国民经济的各个部门。
英文摘要
Objectives:The objective of this research is to study the use of stochastic optimization and coordinating control to improve the stability, reliability, and economic efficiency of the next-generation power system with significant wind penetration. The approach is to (1) develop novel modeling and optimization frameworks using probability-based decision-making approaches for security-constrained stochastic optimization of the power system; (2) enhance steady-state and transient performance of wind plants through novel wind-plant supervisory control; and (3) enhance overall power system dynamic performance and stability through novel wide-area coordinating control.Intellectual Merit: Through the creation of new philosophies for optimization and control design, this project will advance understanding of the critical operational issues of the next-generation power system and will lead to smarter power grids to provide better electric energy security, efficiency, and sustainability. In addition to power systems, this research will create several fundamental frameworks and methodologies applicable to optimization and control of other interconnected, large-scale, stochastic, dynamical, complex systems.Broader Impacts: This project will build a thriving and diversified power program through the integration of graduate and undergraduate research and teaching with K-12 outreach, which will provide a unique platform of learning for young individuals entering the power engineering profession. This project will build multiple foreign research training and exchange programs to promote international collaborations in power engineering education and research. The outcomes of this project will further exploit the benefits of wind power in reaching the goal of supplying 20% of the nation's electricity by wind and will benefit various sectors of the nation's economy.
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会议论文
Online Nonintrusive Identification and Monitoring of Internal Weak Points of Electro Energy Devices Using Package Surface Temperature
  • 批准号:
    1663562
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.79万
  • 财政年份:
    2017
  • 负责人:
    Wei Qiao
  • 依托单位:
PFI:AIR - TT: Self-X Smart Battery
  • 批准号:
    1414393
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.99万
  • 财政年份:
    2014
  • 负责人:
    Wei Qiao
  • 依托单位:
Cognitive Prediction-Enabled Online Intelligent Fault Diagnosis and Prognosis for Wind Energy Systems
  • 批准号:
    1308045
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.99万
  • 财政年份:
    2013
  • 负责人:
    Wei Qiao
  • 依托单位:
Intelligent Optimal Mechanical Sensorless Control of Variable-Speed Wind Energy Systems Considering System Uncertainties
  • 批准号:
    0901218
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.48万
  • 财政年份:
    2009
  • 负责人:
    Wei Qiao
  • 依托单位:
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究