Control and Operation of Large-Scale Wind Farms in the Power System

电力系统大型风电场的控制与运行

• 批准号: 0926038
• 负责人: Choon Yik Tang
• 金额: $ 34.97万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926038&HistoricalAwards=false
• 关键词: Control; Operation; Large; Scale; Wind

The objective of this research is to address a pressing need for techniques that control the power outputs of large-scale, grid-interconnected wind farms, so that wind energy may be utilized efficiently, reliably, and economically. The approach is based on a blend of advanced theories in nonlinear control, energy conversion, and power system reliability, which involves theoretical research and algorithm development, including modeling of wind farms for power system operation, seamless control of such farms so that they can operate in both the maximum power tracking and power regulation modes, and analysis of their dynamic power output characteristics.This project bridges the gap between advanced control theory and power system engineering practice, by providing novel control technologies for enabling integration of large-scale uncertain wind generation into the power system. The research requires state-of-the-art modeling of electric machines, wind turbines, and power system reliability. In addition, the research supports nationwide development in wind energy and addresses a set of theoretical challenges in advanced nonlinear control.This project promotes national policy on renewable energy, by providing solutions to several defining issues in reliable and economic utilization of wind resources. It also promotes integration of interdisciplinary research with education at state universities. The integration will be realized through incorporation of new topics in traditional energy conversion and power systems courses, field trips to actual wind farms, graduate research mentorship, design of a new graduate course, and involvement of underrepresented groups. The principal investigator is also currently a mentor at two high-school robotics teams.

本研究的目的是解决对大规模并网风电场功率输出控制技术的迫切需求，以便高效、可靠、经济地利用风能。该方法融合了非线性控制、能量转换和电力系统可靠性方面的先进理论，涉及理论研究和算法开发，包括对电力系统运行的风电场进行建模，对风电场进行无缝控制，使其能够在最大功率跟踪和功率调节模式下运行，并分析其动态功率输出特性。该项目通过提供新颖的方法，弥合了先进控制理论与电力系统工程实践之间的差距。 用于将大规模不确定风力发电集成到电力系统中的控制技术。该研究需要对电机、风力涡轮机和电力系统可靠性进行最先进的建模。此外，该研究支持全国风能的发展，并解决了先进非线性控制中的一系列理论挑战。该项目通过为风能资源的可靠和经济利用的几个关键问题提供解决方案，促进国家可再生能源政策。它还促进跨学科研究与州立大学教育的结合。这种整合将通过在传统能源转换和电力系统课程中纳入新主题、实际风电场实地考察、研究生研究指导、新研究生课程设计以及代表性不足群体的参与来实现。首席研究员目前也是两个高中机器人团队的导师。