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

这项研究的目的是解决对控制大规模电网互联风电场的电力输出的迫切需求，以便高效、可靠和经济地利用风能。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，包括理论研究和算法开发，包括为电力系统运行建立风电场模型，对风电场进行无缝控制，使其能够同时运行在最大功率跟踪和功率调节模式下，并分析其动态功率输出特性。该项目通过提供新的控制技术，使大规模不确定风力发电能够集成到电力系统中，从而在先进控制理论和电力系统工程实践之间架起一座桥梁。这项研究需要对电机、风力涡轮机和电力系统可靠性进行最先进的建模。此外，该研究还支持风能在全国范围内的发展，并解决了先进非线性控制方面的一系列理论挑战。该项目通过为可靠和经济地利用风能资源的几个决定性问题提供解决方案，促进国家可再生能源政策。它还促进了跨学科研究与州立大学教育的结合。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、对实际风力发电场的实地考察、研究生研究指导、新研究生课程的设计以及代表不足的群体的参与来实现。这位首席研究员目前也是两个高中机器人团队的导师。

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.