Adaptive Techniques for Optimizing Power Flows in Uncertain Energy Processing Systems

优化不确定能源处理系统中功率流的自适应技术

• 批准号: 0601256
• 负责人: Aleksandar Stankovic
• 金额: $ 24万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0601256&HistoricalAwards=false
• 关键词: Adaptive; Techniques; Optimizing; Power; Flows

Adaptive Techniques for Optimizing Power Flows in Uncertain Energy Processing Systems(Proposal No. ECS- 0601256)PI: A. StankovicAbstractThis research will develop an overall framework and specific tools for multi-criterial analysis of polyphase energy processing systems with non-linear loads. Specifically, the PIs will develop an adaptive procedure for dealing with parametric uncertainties, and extend the analysis to transient operation. These developments will provide a quantitative basis for assessment of achievable performance in large classes of energy processing systems, which in turn will serve as inputs to model-based engineering design. Intellectual merit: A unified Hilbert space-based framework for separating the active and reactive components of power provides a theoretical foundation for applications in ac power systems equipped with power electronics-based compensators - commercial buildings, high-performance industrial and distribution systems serving sensitive loads, modern more electric ships and aircraft. This will impact analysis and design of networks incorporating distributed generation, and may prove relevant in other applications, from future hybrid road vehicles to energy-constrained portable electronics and power MEMS. Broader impact: This research project will contribute to unification of knowledge in the areas of system and energy engineering, adaptive signal processing and applied mathematics. The PIs are developing teaching materials in the form of modules that can be included into graduate and undergraduate courses in energy engineering and signal processing. The proposal includes plans to involve high school teachers interested in energy efficiency through a Research Experience for Teachers (RET) supplement.

用于在不确定能量处理系统中优化潮流的自适应技术(提案编号：本研究将开发一个多相非线性负荷能量处理系统多判据分析的总体框架和专用工具。具体地说，PI将开发一种处理参数不确定性的自适应程序，并将分析扩展到暂态运行。这些发展将为评估大类能源处理系统的可实现性能提供量化基础，而这些性能又将作为基于模型的工程设计的输入。智能优势：用于分离电力有功和无功分量的统一希尔伯特空间框架为配备基于电力电子的补偿器的交流电力系统的应用提供了理论基础，这些系统包括商业建筑、为敏感负载服务的高性能工业和配电系统、现代更电动的船舶和飞机。这将影响纳入分布式发电的网络的分析和设计，并可能被证明与其他应用相关，从未来的混合动力道路车辆到能源受限的便携式电子产品和电力MEMS。更广泛的影响：这一研究项目将有助于统一系统和能源工程、自适应信号处理和应用数学领域的知识。PIS正在以模块的形式开发教材，这些模块可以纳入能源工程和信号处理的研究生和本科生课程。该提案包括通过教师研究经验(RET)补充计划，让对能源效率感兴趣的高中教师参与进来。