AI 中文总结
本文针对IBR高占比电网的系统强度评估难题，提出基于功率注入、电压及线路导纳灵敏度的指标，可快速识别触发不稳定的状态变化，为小信号稳定性问题提供补救措施。
AI 中文摘要
随着基于逆变器的资源（IBRs）在电网发电中占比不断提升，量化系统强度对识别这类设备引入的稳定性问题愈发重要。尽管已有基于导纳模型的系统强度指标被提出，用于识别高IBR渗透率系统中的控制交互，但这些方法需在多个运行点重复评估，以理解系统状态对系统强度的影响。为解决该挑战，本文研究系统稳定性对稳态运行点扰动的灵敏度，提出基于功率注入、电压及线路导纳灵敏度的系统强度指标。利用这些灵敏度，可识别触发不稳定机制的系统状态变化（如线路跳闸或发电机提升功率输出）。研究表明，这些指标能为系统稳定性提供关键洞察，且计算速度远快于重复特征值计算；在14节点和118节点测试系统上的验证显示，该指标可用于寻找小信号稳定性问题的补救措施。
英文摘要
As inverter-based resources (IBRs) contribute larger shares of generation in electrical power grids, quantifying system strength becomes increasingly important for identifying stability issues introduced by these devices. While admittance model based system strength metrics have been proposed to identify control interactions in systems with high levels of IBRs, these methods depend on repeated evaluations across many operating points to understand how the state of the system impacts system strength. To address this challenge, we consider the sensitivity of system stability to perturbations in the steady-state operating point, and propose system strength metrics based on sensitivities to power injections, voltages, and line admittances. Using these sensitivities we can identify changes in the system's state (e.g. a line tripping off or a generator increasing its power output) that trigger instability mechanisms. We show that these metrics provide critical insights into system stability and can be computed much faster than repeated eigenvalue calculations. We demonstrate our approach on 14-bus and 118-bus test systems to show how the metrics can be used to find remedial actions for small-signal stability issues.
Comments10 pages, 12 figures; Submitted to IEEE Transactions on Power Systems
