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: $ 40万
• 依托单位: University of Nebraska-Lincoln
• 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
• 起止时间: 2010-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0954938&HistoricalAwards=false
• 关键词: CAREER; Stochastic; Optimization; Coordinating; Control

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.

目的：本研究的目的是研究使用随机优化和协调控制，以提高下一代电力系统的稳定性，可靠性和经济性与显着的风渗透。 该方法是（1）开发新的建模和优化框架，使用基于概率的决策方法进行电力系统的安全约束随机优化;（2）通过新的风电场监控提高风电场的稳态和瞬态性能;（3）通过新的广域协调控制提高整个电力系统的动态性能和稳定性。通过创建新的优化和控制设计理念，该项目将促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，以提供更好的电能安全性、效率和可持续性。 除了电力系统之外，本研究还将创建几个基本框架和方法，适用于其他互联、大规模、随机、动态、复杂系统的优化和控制。该项目将通过研究生和本科生的研究和教学与K-12外展的整合，为有志投身电力工程专业的年青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的国际合作。 该项目的成果将进一步发挥风力发电的效益，实现风力发电占全国电力供应20%的目标，并将惠及国家经济的各个部门。