量化电压与频率动态的功率，用于振荡传播评估
Quantifying Power to Voltage and Frequency Dynamics for Oscillation Propagation Assessment
AI总结：
本文针对IBRs接入电力系统引发的振荡传播问题，提出基于线性分析的频域框架及FSI、VSI指标，在IEEE 68节点系统案例中验证了方法的准确性，可用于振荡检测与传播分析。
AI中文摘要：
基于逆变器的资源（IBRs）接入电力系统会引入多时间尺度动态和振荡，这些振荡可能传播到偏远区域，危及系统安全运行。在包含大量同步电机和IBRs的大型互联系统中，振荡的来源、频率和传播路径往往难以识别，这构成了重大挑战。因此，能够识别系统对宽频带内振荡敏感性的分析工具备受关注，这类振荡会影响各网络节点的电压和频率变量。本文针对该问题，提出一种基于线性分析的频域框架，该框架可表征各网络节点电压及各机组频率对振荡的敏感性。在此框架内，提出两个量化指标：频率敏感性指数（FSI）和电压敏感性指数（VSI）。这些指标通过传递函数解析推导得出，传递函数关联各节点的有功和无功功率注入与网络各处的电压和频率变量，传递函数源自线性电磁暂态（EMT）电力系统模型。所提指标可量化系统对不同类型、不同频率振荡的敏感性，为振荡检测和传播分析提供见解。该方法应用于改进的IEEE 68节点基准系统的案例研究，考虑IBRs的部分和全渗透率场景，并通过Matlab/Simulink环境下线性和非线性模型的EMT时域仿真验证其准确性。
英文摘要：
The integration of Inverter-Based Resources (IBRs) into power systems introduces multi-timescale dynamics and oscillations which may propagate to distant areas and endanger the safe system operation. These oscillations pose a significant challenge as their source, frequency, and propagation pathways are often challenging to identify in large interconnected systems, comprising numerous synchronous machines and IBRs. For the above reasons, analytical tools that identify the sensitivity of the system to oscillations within a large frequency spectrum, affecting both voltage and frequency variables across various network locations, are of interest. This paper addresses this topic by introducing a frequency-domain framework based on linear analysis, which characterizes the sensitivity to oscillations of each network bus voltage and of each generation unit frequency. Within this framework, two quantitative indicators are proposed, namely the Frequency Sensitivity Index (FSI) and Voltage Sensitivity Index (VSI). These indexes are derived analytically from the transfer functions which relate the active and reactive power injections to each bus with the voltage and frequency variables across the network, derived from the linear Electromagnetic Transient (EMT) power system model. The proposed indices quantify the sensitivity of the system to oscillations of different type and frequency, providing insights for both oscillation detection and propagation analysis. The methodology is applied to a case study based on the modified IEEE 68-bus benchmark system under partial and full IBR penetration, while its accuracy is validated through EMT time-domain simulations using linear and nonlinear models developed in Matlab/Simulink environment.
