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: 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=710047
• 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. There is an accelerated growth in the integration of renewable powered plants with power electronic circuits into the electric grid resulting in scientific and technical challenges. One major challenge is related to the accurate evaluation of short circuit contributions and development of models and methods for system protection and stability studies. Although Electromagnetic Transient Tools provide a precise platform to study transients in power systems, they are rarely used for protection studies due to performance and modeling effort concerns. Practicing engineers typically use phasor tools that have limitations in terms of modeling complex control and dynamic behavior of renewables. This program will establish new, accurate and adaptive approaches for dynamic studies compared to the existing methods and tools. This will be achieved by effectively using multiport network equivalents, adaptive line/cable models, reduced equivalents and adaptive renewable models. The renewables have significant impact on the behavior of power systems. This requires proper characterization of them and fundamental changes in conventional tools. This proposal will advance the knowledge in the field of power systems and provide a step forward in their simulation using adaptive techniques that manage accuracy either imposed manually or adjusted automatically. New identification methods will be developed in order to obtain a unified mathematical modeling frame that can adapt to different precision requirements. The identification methods will be used for the modeling of transmission lines, cables, network equivalents and transformers. Transmission lines and cables are key components in power systems and have significant impact on computing time and precision of power system simulators. The wideband modeling of these components is becoming more important with increased integration of power electronics based components in power systems, HVDC connections, long HVAC cable installations and wind parks connected through cables. Improved performance and precision of line and cable models will help improve efficiency of the system and reduce design costs.

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。 可再生能源发电厂与电力电子电路集成到电网中的速度加快，导致科学和技术挑战。一个主要的挑战是有关短路贡献的准确评估和系统保护和稳定性研究的模型和方法的发展。虽然电磁暂态工具提供了一个精确的平台来研究电力系统中的暂态，但由于性能和建模工作的考虑，它们很少用于保护研究。实践工程师通常使用相量工具，这些工具在对可再生能源的复杂控制和动态行为建模方面存在局限性。与现有的方法和工具相比，该计划将建立新的，准确的和自适应的动态研究方法。这将通过有效使用多端口网络等效、自适应线路/电缆模型、简化等效和自适应可再生模型来实现。 可再生能源对电力系统的行为有重大影响。这就需要对它们进行适当的定性，并对传统工具进行根本性的改变。 该建议将推进电力系统领域的知识，并提供了一个步骤，在他们的模拟使用自适应技术，管理精度手动或自动调整。新的辨识方法将被开发，以获得一个统一的数学建模框架，可以适应不同的精度要求。识别方法将用于传输线，电缆，网络等效物和变压器的建模。输电线路和电缆是电力系统中的关键部件，对电力系统仿真器的计算时间和精度有重要影响。随着电力系统、HVDC连接、长HVAC电缆安装和通过电缆连接的风电场中基于电力电子的组件的集成增加，这些组件的宽带建模变得越来越重要。提高线路和电缆模型的性能和精度将有助于提高系统的效率并降低设计成本。