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

电能对进步和社会福祉至关重要。每次都必须在可靠性、可持续性、成本和环境影响等日益严格的条件下，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了许多变化，而且还迫使电力系统的运行方式发生了变化。需要对电力系统进行深入的模拟，以确定运行和安全极限。此外，在工程研究中需要新的模拟工具和模型来考虑新技术。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，并采用特殊的电缆和输电线路配置。 可再生发电厂与电力电子电路并入电网的速度加快，带来了科学和技术方面的挑战。一个主要的挑战涉及到对短路贡献的准确评估以及系统保护和稳定性研究的模型和方法的发展。尽管电磁暂态工具为研究电力系统中的暂态过程提供了一个精确的平台，但由于性能和建模工作的考虑，它们很少用于保护研究。经验丰富的工程师通常使用相量工具，这些工具在可再生能源的建模、复杂控制和动态行为方面存在局限性。与现有的方法和工具相比，该计划将为动态研究建立新的、准确的和自适应的方法。这将通过有效地使用多端口网络等效网络、自适应线路/电缆模型、简化等效网络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着重要的影响。这需要对它们进行适当的描述，并从根本上改变传统工具。 这项建议将推进电力系统领域的知识，并使用自适应技术在电力系统仿真方面向前迈进一步，这些技术可以管理手动施加或自动调整的精度。将开发新的辨识方法，以获得能够适应不同精度要求的统一数学建模框架。识别方法将用于传输线、电缆、网络等值和变压器的建模。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。随着电力系统中基于电力电子学的组件、高压直流连接、长长的高压交流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度增加，这些组件的宽带建模变得更加重要。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，降低设计成本。

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.