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.

我的探索研究项目调查电力能源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机的开发，创造了了解水轮发电机损耗的工具，并将可再生能源和储能技术整合到系统中。这些系统可能包括电力运输、微电网或更大的电力系统。*当世界考虑如何减少能源使用的碳足迹时，已经制定了两条关键的解决方案：1)碳密集型系统的电气化；2)降低电力系统的碳强度。*电气化的一个主要应用是交通。这里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，或者开发电动船舶推进系统。*正在通过众所周知的努力降低发电的碳强度，如扩大风能和太阳能发电，但也通过部署小型燃气轮机。*所有这些发展的一个关键因素是高效和容错电机和发电机的使用迅速扩大。作为这种增长的结果，人们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是坚固的，并在出现故障时继续安全运行。为了能够调查故障的潜在传播和机械的非理想运行，有必要开发从单个部件设计的细节到部件控制策略到广域电力系统分析的建模策略。目前还没有能够做到这一点的实际分析方法。该项目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尺度和时间尺度的耦合。传统的方法是采用非耦合的连续建模方法，建立元件的详细模型并将其参数化，然后将缩尺模型引入瞬变电磁模型。这些模型的结果又被用于静态电力系统分析。如果将系统故障应用于理想的对称机器，这种方法效果很好。然而，当组件故障和系统相互作用时，它会失败。这项研究计划将开发方法，使电力系统中的分布式能源和小电力系统中的电机(如电力运输)能够同时建立多尺度模型。