PFI-RP: Increasing the stability of large-scale electric power systems through an adaptive measurement-driven controller prototype.

这个创新伙伴关系-研究伙伴关系（PFI-RP）项目的更广泛的影响/商业潜力，如果成功，将为大规模电力系统提供一种自适应和可靠的控制器。所提出的控制器与传统的基于物理的模型不同，它采用了一种先进的基于测量的方法，使其具有自适应性，因此能够在不同的操作条件下提供最优控制。该控制器有望显著降低电力系统大范围停电的风险以及相关的经济和社会损失。该控制器还有望使运营商保持电力系统的稳定性，提高现有输电线路的容量利用率，并降低运营和维护成本。此外，拟议的控制器有望降低偏远地区消费者的电力成本，并实现可再生能源电力系统的整合。该项目将开发一种创新的自适应广域阻尼控制器（WADC）原型，以抑制大型电力系统中的低频振荡。该项目旨在解决阻碍这种控制器应用于电力系统的技术挑战。设计一种鲁棒的系统辨识算法，消除测量噪声和误差的影响。开发实时延迟补偿和测量处理技术来处理时延和数据丢失。将开发网络攻击检测方法和相关缓解措施，以确保这种实时控制的安全性。该原型将在一个实时仿真平台上进行演示，该平台使用真实的电网模型模拟真实的电力系统运行环境，展示大规模电力系统建模和控制中的一种新的测量驱动方法。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation - Research Partnerships (PFI-RP) project, if successful, will be in the availability of an adaptive and reliable controller for large-scale electric power systems. The proposed controller is different from the traditional physical-based model by using an advanced measurement-based approach that will make it adaptive and, therefore, able to provide optimal control under different operating conditions. The proposed controller is expected to significantly mitigate the risk of widespread outages in electric power systems and related economic and societal losses. The controller is also expected to enable operators to maintain electric power system stability, increase the capacity utilization of existing transmission lines and reduce operating and maintenance costs. In addition, the proposed controller is expected to reduce electricity costs for consumers in remote areas and enable the integration of renewable energy sources electric power systems.The proposed project will develop an innovative adaptive wide-area damping controller (WADC) prototype to suppress low-frequency oscillations in large-scale power systems. The project intends to address technical challenges that prevent the application of such a controller to power systems. A robust system identification algorithm will be designed to eliminate the impact of measurement noise and error. A real-time delay compensation and measurement processing technology will be developed to handle time delay and data loss. Cyber-attack detection methods and associated mitigation measures will be developed to ensure the security of this real-time control. The prototype will be demonstrated on a real-time simulation platform that mimics a realistic power system operating environment using realistic grid models, demonstrating a new measurement-driven approach in large-scale power system modeling and control.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.