Maximizing Wind Farm Energy Production Using Coordinated Turbine Control
Maximizing Wind Farm Energy Production Using Coordinated Turbine Control
批准号:
0725752
负责人:
Kathryn Johnson
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2010-08-31
中文摘要
这项研究的目标是使用协调的涡轮机控制来最大限度地利用风电场从风中提取的能量。该方法是建立一个风电场风力机之间气动相互作用的仿真模型,然后设计一个先进的控制器来提高风电场的整体能量捕获。然后使用仿真模型对控制器进行测试。智能优点研究的智能优点包括仿真模型开发和控制器开发。有许多工具可以测试单个涡轮机上的控制,但本研究中的仿真模型的贡献是为风力发电场控制器提供一个试验台。设计了能量最大化控制器,并在仿真模型上进行了测试,并与基线非协调风电场控制进行了比较。将使用迭代反馈调整和迭代学习控制的混合组合。广泛影响拟议研究的第一个,也是最明显的更广泛的影响是提高现有风电场的效率,这将提供环境和经济效益。此外,具有社会责任感的工程项目有助于吸引和留住有才华的年轻工程学学生;尤其是年轻女性,往往会被吸引到对社会负责的领域。这项由女性校长调查员领导的研究应该通过提供研究和课堂机会来帮助这一努力。该项目将支持一名研究生研究助理,模拟模型将用于控制系统和风能课程。
英文摘要
The objective of this research is to use coordinated turbine control to maximize the energy that a wind farm extracts from the wind. The approach is to develop a simulation model of the aerodynamic interaction among turbines on a wind farm and then to design an advanced controller to increase overall wind farm energy capture. The controller will then be tested using the simulation model.Intellectual MeritThe intellectual merit of the research includes both the simulation model development and the controller development. Many tools exist that allow for testing controls on individual turbines, but the contribution of the simulation model in this research is to provide a test bed for wind farm controllers. The energy-maximizing controller will be designed, tested on the simulation model, and compared to the baseline uncoordinated wind farm control. A hybridized combination of Iterative Feedback Tuning and Iterative Learning Control will be used.Broader ImpactThe first, most obvious broader impact of the proposed research is improved efficiency of existing wind farms, which will provide both environmental and economic benefits. Also, engineering projects with a perceived socially responsible focus help to attract and retain talented young engineering students; young women, especially, tend to be drawn toward socially-responsible fields. This research, led by a female Principle Investigator, should help in this endeavor by providing research and classroom opportunities. The project will support a graduate research assistant, and the simulation model will be made available for use in control systems and wind energy courses.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: Embodiment of Human Values Profiles in the Control of Autonomous Vehicles
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批准号:2146691
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2022
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负责人:Kathryn Johnson
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依托单位:
Understanding the Formation of Sociotechnical Thinking in Engineering Education
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批准号:1664242
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项目类别:Standard Grant
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资助金额:$34.93万
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财政年份:2017
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负责人:Kathryn Johnson
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依托单位:
Research Initiation Grant: Social Justice in Engineering with a Focus on Control Systems
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批准号:1441806
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2014
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负责人:Kathryn Johnson
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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
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: