Development of accurate identification techniques, smart models and methods for future power systems

开发未来电力系统的精确识别技术、智能模型和方法

• 批准号: RGPIN-2017-05786
• 负责人: Kocar, Ilhan
• 金额: $ 2.4万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637150
• 关键词: Development; accurate; identification; techniques; smart

Electric energy is essential to progress and social well-being. It must be produced and delivered each time in larger quantities and under increasingly stringent conditions of reliability, sustainability, cost and environmental impacts. This forces a number of changes not only in the physical infrastructure of power systems but also in the way they are operated. In-depth simulation of power systems is required to identify the operational and safety limits. Furthermore, new simulation tools and models are necessary to account for new technologies in engineering studies. The future power systems will be dominated with power electronics based control, generation and transmission systems with special cable and transmission line configurations.

电能对社会进步和福祉至关重要。每次都必须在越来越严格的可靠性、可持续性、成本和环境影响条件下大量生产和交付。这不仅迫使电力系统的物理基础设施发生变化，而且还迫使它们的运行方式发生变化。需要对电力系统进行深入的仿真，以确定运行和安全限制。此外，新的模拟工具和模型是必要的，以考虑工程研究中的新技术。未来的电力系统将以基于电力电子的控制、发电和输电系统为主，这些系统具有特殊的电缆和输电线路配置。