Highly-efficient and smart Power Electronics Systems for long-lasting energy storage Systems in smart grid applications

用于智能电网应用中持久储能系统的高效智能电力电子系统

• 批准号: RGPIN-2016-06519
• 负责人: Bakhshai, Alireza
• 金额: $ 2.99万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=709887
• 关键词: Highly; efficient; smart; Power; Electronics

Electricity and transportation sectors are accountable for producing the largest amount of greenhouse gas (GHG) emissions. Although Canada generates the cleanest worldwide electricity, emission from transportation is the largest contributor to Canada's GHG emissions, representing 24% of overall GHGs. Current worldwide incentives have spurred the development of Electric Vehicles (EVs). It is expected that the number of such vehicles will grow exponentially, to 30 million annually by 2040. Electric Vehicles are more efficient and have few direct emissions. However, they all rely on energy generated by the electricity sector. This implies that the GHG emission from transportation is moved to the electricity sector. To truly reduce this emission, more electricity should be produced from renewable energy sources such as wind and solar. A major problem in integrating more renewables into the power grid is the intermittent nature of solar and wind energies that reduces the performance of the power grid. Energy storage will provide flexibility to a relatively inflexible grid and will enable a larger scale deployment of renewable energies, without threatening the grid stability or power quality. Due to a push in producing EVs and a premeditated grow in the number of these vehicles, on-board traction batteries of EVs are the most promising means for energy storage. This research proposal aims to introduce and design innovative highly-efficient power electronics systems and the invention of next-generation devices for distributed energy storage and energy conversion based on EV technology for both utility scale and Vehicle to Grid (V2G) energy storage systems. These power electronics and control systems will mostly rely on local parameters and need no communication link. This will be a very important achievement since it has been a challenging issue in microgids and smart grid applications. The proposed research will be advantageous for multiple research streams in the rapidly growing areas of energy integration, renewable generation, and converter enabled microgrids It is expected that industry and scientists, specifically electricity and transportation sectors will benefit from the outcome of this project. People and policymakers will benefit economically due to an improvement in the efficient use of energy. Because of significant GHE reductions, all Canadians can benefit from the improved air quality, and as a result, a better quality of life. The proposed research will directly support the training of 5 graduate students. In addition, 2-3 senior undergraduate students (4th year) will be trained annually on various aspect of this project. The participating students will develop research skills in advanced design of power electronics circuits, control systems, power electronics simulation tools, and FPGA based digital control techniques.

电力和运输部门负责生产最多的温室气体（GHG）排放量。 尽管加拿大在全球范围内产生了最干净的电力，但运输的排放是加拿大温室气体排放的最大贡献者，占整体温室气体的24％。 当前的全球激励措施激发了电动汽车（EV）的开发。预计此类车辆的数量将成倍增长，到2040年每年增加3000万。电动汽车效率更高，直接排放量很少。但是，它们都依赖电力部门产生的能源。这意味着运输中的温室气体发射移至电力部门。 为了真正减少这种排放，应从可再生能源（例如风能和太阳能）中产生更多的电力。 将更多的可再生能源整合到功率电网中的一个主要问题是太阳能和风能的间歇性质，可以降低电网的性能。能源存储将为相对僵化的网格提供灵活性，并可以在不威胁网格稳定性或功率质量的情况下进行更大的可再生能量部署。由于这些车辆的数量推动了电动汽车和预谋的增长，电动汽车的车载牵引力电池是储能的最有希望的手段。 该研究建议旨在介绍和设计创新高效的电力电子系统以及基于EV技术的分布式能量存储和能源转换的下一代设备的发明，用于电动机量表和车辆到电网（V2G）储能系统。这些电力电子和控制系统将主要依赖于本地参数，而无需通信链接。这将是一个非常重要的成就，因为它在微胶质和智能电网应用中一直是一个艰巨的问题。 拟议的研究对于能源整合，可再生生成和启用转换器的快速增长领域的多个研究流将是有利的，预计工业和科学家，尤其是电力和运输部门将从该项目的结果中受益。由于有效利用能源的改善，人们和政策制定者将在经济上受益。由于大幅降低了GHE，所有加拿大人都可以从改善的空气质量中受益，从而使生活质量更高。 拟议的研究将直接支持5名研究生的培训。此外，将每年在该项目的各个方面接受2-3名高级本科生（4年）的培训。参与的学生将发展电源电路，控制系统，电力电子模拟工具和基于FPGA的数字控制技术的高级设计技能。