Maximizing Wind Farm Energy Production Using Coordinated Turbine Control

使用协调涡轮机控制最大限度地提高风电场能源生产

• 批准号: 0725752
• 负责人: Kathryn Johnson
• 金额: --
• 依托单位: Colorado School of Mines
• 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
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0725752&HistoricalAwards=false
• 关键词: Maximizing; Wind; Farm; Energy; Production

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.

本研究的目的是使用协调的涡轮机控制，以最大限度地提高能源，风电场提取风。 该方法是开发一个风力发电场的涡轮机之间的空气动力学相互作用的仿真模型，然后设计一个先进的控制器，以提高整体风力发电场的能量捕获。 然后，控制器将使用仿真模型进行测试。智能MeritThe智能研究的优点包括仿真模型的开发和控制器的开发。 有许多工具可以测试单个涡轮机的控制，但本研究中仿真模型的贡献是为风电场控制器提供测试平台。 将设计能量最大化控制器，在仿真模型上进行测试，并与基线不协调风电场控制进行比较。 将使用迭代反馈调整和迭代学习控制的混合组合。更广泛的影响所提出的研究的第一个，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专业学生;特别是年轻女性，往往被吸引到社会责任领域。 这项研究，由一名女性首席研究员领导，应有助于在这奋进的努力，提供研究和课堂机会。 该项目将支持一名研究生助理，模拟模型将用于控制系统和风能课程。