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。它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一些变化，而且也迫使它们的运行方式发生了一些变化。需要对电力系统进行深入的模拟，以确定运行和安全限制。此外，需要新的仿真工具和模型来考虑工程研究中的新技术。未来的电力系统将以电力电子为基础的控制、发电和传输系统为主导，这些系统采用特殊的电缆和输电线路配置。

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.