Micro to macro scale modeling of electrical machines

电机的微观到宏观建模

• 批准号: RGPIN-2019-05313
• 负责人: Knight, Andrew
• 金额: $ 3.35万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=689320
• 关键词: Micro; macro; scale; modeling; electrical

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.

我的发现研究计划研究了电能效率和低碳电力设备的发展。这种广泛的范围涵盖了新的高效电动机的开发，从而创造了工具来了解水力发电器中的损失，从而将可再生能源和能源存储技术集成到系统中。这些系统可能包括电动运输，微电网或更大的电源系统。 ***当世界考虑如何减少能源使用的碳足迹时，已经发展了两个关键的解决方案路径：1）碳密集型系统电气化； 2）降低电气系统的碳强度。 ***电气化的主要应用是运输。此处的例子包括沃尔沃（Volvo）等汽车制造商的决策，要搬家仅生产电动或混合动力汽车。鲜为人知的是生产更多电动和全电飞机或电动船推进的工作。 ***通过众所周知的努力，例如风和太阳能产生的扩展，以及通过部署小规模的燃气轮机，从而减少了发电的碳强度。 ***所有这些发展中的关键因素是使用高效率和容错电动机和发电机的快速扩展。由于这种增长，当设备在非理想条件下故障或运行时，新电气机在系统内如何运行，越来越需要了解新的电气机。 运输系统和能源生产必须是强大的，并在存在故障的情况下继续安全运行。为了能够调查故障的潜在传播和机械的非理想操作，有必要制定建模策略，以从各个组件设计的细节扩展到通过组件控制策略到广域电源系统分析。目前没有能够实现这种方法的实践分析方法。该计划中的创新研究将开发这些分析工具。这些新模型需要多个物理量表和时间尺度的耦合。通常，这是通过使用未耦合的连续建模方法来实现的，开发了详细的组件模型并进行了参数化，然后将简化的比例模型引入到瞬态电磁模型中。这些模型的结果又在稳态电源系统分析中使用。如果将系统故障应用于理想的对称机器，则此方法效果很好。但是，当组件故障和系统相互作用时，它会失败。该研究计划将开发方法，以实现小型电力系统（例如电动运输）中电能系统和电机中分布式能源的并发多尺度模型。