发表机构
Johns Hopkins University; Lund University（约翰斯·霍普金斯大学; 隆德大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种分散分析框架，揭示无功失配、线路负载和逆变器控制参数如何共同决定小信号稳定性，并证明网络应力会缩小稳定控制器参数集。
AI 中文摘要
小信号不稳定性，如无强迫次同步振荡，在基于逆变器资源（IBR）主导的电网中日益常见。尽管分散稳定性证书提供了一种可扩展的方法来避免不稳定发生，但它们通常是在限制性网络状态假设下推导的——例如小角度差或可忽略的电压降——无法捕捉这些条件偏离如何影响系统稳定性。在本文中，我们开发了一个网络模型和一个分散分析框架，明确表征无功失配、线路负载和逆变器控制参数如何共同决定小信号稳定性。我们表明，稳态无功失配和线路负载的增加导致对允许的逆变器下垂增益的条件更加严格。这些结果使分散稳定性证书明确依赖于网络状态，展示了网络应力如何缩小稳定本地控制器参数的集合。
英文摘要
Small-signal instabilities, such as unforced sub-synchronous oscillations (SSOs), are increasingly observed in inverter-based resource (IBR) dominated grids. While decentralized stability certificates offer a scalable means to avoid instability onset, they are typically derived under restrictive network-state assumptions--such as small angle differences or negligible voltage drops--that cannot capture how departures from these conditions affect system stability. In this paper, we develop a network model and a decentralized analysis framework that explicitly characterizes how reactive power mismatches, line loading, and inverter control parameters jointly determine small-signal stability. We show that increased steady-state reactive power mismatches and line loading lead to more stringent conditions on admissible inverter droop gains. These results make decentralized stability certificates explicitly network-state dependent, showing how network stress shrinks the set of stabilizing local controller parameters.
