Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation
Yan Jiang, Hancheng Min, and Baosen Zhang
In Power Systems Computation Conference, Jun 2024
to appear
Frequency security assessment following major disturbances has long been one of the central tasks in power system operations. The standard approach is to study the center of inertia frequency, an aggregate signal for an entire system, to avoid analyzing the frequency signal at individual buses. However, as the amount of low-inertia renewable resources in a grid increases, the center of inertia frequency is becoming too coarse to provide reliable frequency security assessment. In this paper, we propose an efficient algorithm to determine the worst-case frequency nadir across all buses for bounded power disturbances, as well as identify the power disturbances leading to that severest scenario. The proposed algorithm allows oscillation-aware frequency security assessment without conducting exhaustive simulations and intractable analysis.
