Collaborative Research: Power Grid Spectroscopy

研究目标和方法：本研究的目标是对以频率和电压扰动形式在电网上传播的机电波的特性有一个基本的了解。这些波浪揭示了电网的短期动态和稳定性，随着时间间歇性可再生能源发电资源被纳入电网，它们在未来将变得越来越重要。该方法是利用新的广域、高分辨率相量测量单元监测，并应用非线性系统、应用数学、统计物理和信号分析等领域的方法和方法来研究大规模输电网的电压、潮流和频率扰动的动态。智力优势：研究大型电力系统中的机电波现象是一种很有前途的新方法，它吸收了许多学科，并将迅速推进基于物理的理解和数据驱动的电网状态和快速动力学推断的前沿。这种新的理解将使智能电网控制的设计能够防止经济上昂贵的级联电网故障。更广泛的影响：新的时间间断性可再生资源需要有效的方法来发现一个地点的事件如何在网格的其他地方表现出来。机电波提供了这样一种关系，它将是早期发现有问题的电网行为、设计和激活先进控制系统以恢复可靠运行的关键。我们的项目将使人们对电网的行为有一个更好的基本理解，这最终将转化为改进运营、更好的控制和更低的成本。

Research Objectives and Approaches: The objective of this research is to develop a fundamental understanding of the properties of electro-mechanical waves that propagate as frequency and voltage disturbances over the electrical grid. These waves reveal much about the short-term dynamics and stability of the electrical grid and will become increasingly important in the future as time-intermittent renewable generation resources are incorporated into the grid. The approach is to leverage the new, wide-area, high-resolution phasor measurement unit monitoring and apply methods and approaches from the fields of nonlinear systems, applied mathematics, statistical physics, and signal analysis to study the dynamics of voltage, power flow, and frequency disturbances on large-scale transmission grids. Intellectual Merit: Studying electro-mechanical wave phenomena in large power systems is a promising new approach that draws on numerous disciplines and will rapidly advance the frontiers of the physics-based understanding and data-driven inference of electrical grid states and fast dynamics. This new understanding will enable the design of smart grid controls to prevent economically-costly cascading grid failures. Broader Impacts: New time-intermittent renewable resources create a need for effective ways of discovering how an event in one location is manifested in the rest of the grid. Electro-mechanical waves provide one such relationship and will be key to early detection of problematic grid behavior and design and activation of advanced control systems to restore reliable operation. Our project will develop a better fundamental understanding of electrical grid behavior, which will ultimately translate into improved operation, better control, and lowered cost.