Micro to macro scale modeling of electrical machines

我的发现研究计划调查电能效率和低碳电力设备的发展。这一广泛的范围涵盖了新的高效电动机的开发，通过将可再生能源和储能技术集成到系统中，创建了解水力发电机损失的工具。这些系统可能包括电力运输、微电网或更大的电力系统。 随着世界考虑如何减少能源使用的碳足迹，两个关键的解决方案路径已经开发出来：1）碳密集型系统的电气化; 2）降低电力系统的碳强度。 电气化的主要应用是交通运输。这方面的例子包括沃尔沃等汽车制造商决定只生产电动或混合动力汽车。不太为人所知的是生产更多电动和全电动飞机的工作或电力船舶推进的发展。 通过扩大风能和太阳能发电等众所周知的努力，以及通过部署小型燃气轮机，正在降低发电的碳强度。 所有这些发展的一个关键因素是高效率和容错电动机和发电机的使用迅速扩大。由于这种增长，越来越需要了解当设备出现故障或在非理想条件下运行时，新电机如何在系统内运行。运输系统和能源生产必须稳健，并在出现故障的情况下继续安全运行。为了能够调查潜在的故障传播和机器的非理想操作，有必要开发建模策略，从单个组件设计的细节，通过组件控制策略，以广域电力系统分析。目前还没有实用的分析方法能够做到这一点。该计划的创新研究将开发这些分析工具。这些新的模型需要多个物理尺度和时间尺度的耦合。传统上，这已经通过使用非耦合连续建模方法来实现-开发和参数化组件的详细模型，然后将缩减比例模型引入瞬变电磁模型。这些模型的结果反过来又用于稳态电力系统分析。如果系统故障应用于理想的对称机器，则这种方法工作良好。然而，当组件故障和系统交互时，它会失败。该研究计划将开发方法，使分布式能源在电能系统和电机在小型电力系统，如电力运输并行多尺度模型。

My Discovery Research program investigates electrical energy efficiency and the development of low carbon electrical power equipment. This broad scope covers the development of new high-efficiency electric motors, creating tools to understand losses in hydro generators through to the integration of renewable energy and energy storage technologies into systems. These systems may include electric transportation, microgrids or larger power systems. As the world considers how to reduce the carbon footprint of energy use, two key solution paths have developed: 1) electrification of carbon-intensive systems; 2) reducing the carbon intensity of electric systems. A primary application of electrification is transportation. Examples here include decisions by auto manufacturers such as Volvo to move to produce only electric or hybrid-electric vehicles. Less well known are the work to produce more-electric and fully-electric aircraft or the development of electric ship propulsion. Reductions to the carbon intensity of electricity generation are occurring through well-known efforts such as the expansion of wind and solar generation, but also through the deployment of small-scale gas turbines. A key factor in all these developments is the rapid expansion in the use of high efficiency and fault tolerant electrical motors and generators. As a result of this growth, there is a growing need to understand how new electrical machines operate within systems when the equipment is faulted or operating under non-ideal conditions. Transportation systems and energy production must be robust and continue to operate safely in the presence of faults. In order to be able to investigate the potential propagation of faults and non-ideal operation of machinery, it is necessary to develop modelling strategies that scale from the detail of individual component design, through component control strategies to wide area power system analysis. There are currently no practical analysis approaches capable of this. Innovative research in this program will develop these analysis tools. These new models require coupling of multiple physical scales and timescales. Conventionally, this has been accomplished by use of uncoupled consecutive modelling approaches - detailed models of components are developed and parameterized, then reduced scale models are introduced into transient electromagnetic models. Results from these models are in turn used in steady state power system analysis. This approach works well if a system fault is applied to an ideal symmetrical machine. However, it fails when component faults and systems interact. This research program will develop methods to enable concurrent multiscale models of distributed energy resources in electrical energy systems and electric machines in small power systems such as electric transportation.