Computational prototyping framework for power processing and energy conversion systems

功率处理和能量转换系统的计算原型框架

• 批准号: 1137354
• 负责人: Ali Davoudi
• 金额: $ 33.67万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1137354&HistoricalAwards=false
• 关键词: Computational; prototyping; framework; power; processing

AbstractIt is the objective of this work to develop a computational framework for multi-rate/multi-scale modeling and simulation of power electronics and energy conversion systems for hardware-in-the-loop testing on multi-domain simulation platforms. Based on high-fidelity models of components and subsystems of power and energy systems, numerically rigorous, order-reduction techniques are used to extract several levels of interconnected simulation resolutions from the high-order detailed model. The resulting multi-resolution simulation offers rapid and accurate simulation of the overall systems from a general to a detailed consideration. The computational prototyping framework for switched linear systems, nonlinear systems, and systems with controllers is to be developed. Thereafter, the framework will be extended to ?systems of systems? and other concepts, like flexible nested simulation and co-simulations. At each stage, the numerical reduction techniques and corresponding flexible framework are to be validated with several hardware prototypes of power electronics and energy conversion systems. Intellectual Merit: The proposed methodology addresses the tradeoff between the modeling and simulation accuracy and speed. The accuracy is provided through high-fidelity component models and physics-based approaches. The simulation speed and stability is ensured by numerically rigorous order reduction techniques. The resolution of the simulation environment is adjusted arbitrarily upon user discretion, and the signal integrity is preserved. Moreover, since this approach is systematic and automatable, there is less need for expert knowledge. From a control perspective, it provides a framework to implement hardware in the loop and real-time controller concepts. Moreover, the framework comprises a multi-domain simulation environment. Broader Impacts: The development of this computational prototyping framework will allow aggregated and aggressive design, analysis, and optimization approaches in power and energy systems, in particular large solar systems, wind farms, advanced electric ship, and hybrid vehicles. This will help accelerate these technologies to adoption, creating energy saving and positive impacts on environment, sustainability, and geopolitics. For educational outreach, undergraduates from different engineering disciplines are to be employed. The recruitment strategy will target underrepresented groups in particular. The team will promote education as an integrated part of this project and will publish the educational aspects of this project. The material will also be used in an advanced power electronics course. Furthermore, a monograph will be published on the developed techniques and will be shared freely via the internet

本文的目标是建立一个多速率/多尺度电力电子和能量转换系统的建模和仿真计算框架，用于在多域仿真平台上进行硬件在环测试。基于电力和能源系统的组件和子系统的高保真模型，数值上严格，降阶技术被用来提取几个层次的互连仿真分辨率从高阶详细模型。由此产生的多分辨率仿真提供了从一般到详细考虑的整个系统的快速和准确的仿真。切换线性系统，非线性系统和系统的控制器的计算原型框架是要开发的。此后，该框架将扩大到？系统的系统？以及其他概念，如灵活的嵌套仿真和协同仿真。在每个阶段，数值缩减技术和相应的灵活的框架进行了验证与几个硬件原型的电力电子和能量转换系统。智力优点：所提出的方法解决了建模和仿真精度和速度之间的权衡。通过高保真组件模型和基于物理的方法提供准确性。数值上严格的降阶技术保证了模拟的速度和稳定性。仿真环境的分辨率可根据用户的判断任意调整，并保持信号完整性。此外，由于这种方法是系统化和自动化的，因此对专家知识的需求较少。从控制的角度来看，它提供了一个框架来实现硬件在环和实时控制器的概念。此外，该框架包括多域仿真环境。更广泛的影响：这种计算原型框架的开发将允许在电力和能源系统中采用聚合和积极的设计，分析和优化方法，特别是大型太阳能系统，风电场，先进的电动船和混合动力汽车。这将有助于加速这些技术的采用，节省能源并对环境，可持续性和地缘政治产生积极影响。在教育推广方面，将雇用不同工程学科的本科生。征聘战略将特别针对任职人数不足的群体。该小组将促进教育作为该项目的一个组成部分，并将出版该项目的教育方面。该材料还将用于先进的电力电子课程。此外，将出版一本关于所开发技术的专著，并将通过因特网免费分享