Computational prototyping framework for power processing and energy conversion systems

摘要本工作的目的是开发一个用于电力电子和能量转换系统的多速率/多尺度建模和仿真的计算框架，用于多领域仿真平台上的半实物测试。基于电力系统和能源系统的元件和子系统的高保真模型，采用严格的数值降阶技术从高阶详细模型中提取出多个相互关联的仿真分辨率。由此产生的多分辨率模拟提供了从一般到详细考虑的整个系统的快速和准确的模拟。切换线性系统、非线性系统和带控制器系统的计算原型框架有待开发。此后，该框架将扩展到系统的系统。以及其他概念，如灵活的嵌套模拟和联合模拟。在每个阶段，数值简化技术和相应的柔性框架将通过几个电力电子和能量转换系统的硬件样机来验证。智能优点：提出的方法解决了建模和仿真的精度和速度之间的权衡。精度是通过高保真组件模型和基于物理的方法提供的。通过严格的数值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进行任意调整，并保持信号的完整性。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，该框架还包括一个多领域的仿真环境。更广泛的影响：这一计算原型框架的开发将允许在电力和能源系统，特别是大型太阳能系统、风力发电场、先进电动船舶和混合动力汽车中采用聚合和积极的设计、分析和优化方法。这将有助于加速这些技术的采用，创造节能并对环境、可持续发展和地缘政治产生积极影响。在教育外展方面，将聘用来自不同工程学科的本科生。招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。这种材料还将用于一门高级电力电子课程。此外，还将出版一本关于所开发技术的专著，并将通过互联网免费共享

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