Frequency Security Assessment in Power Systems With High Penetration of Renewables Considering Spatio-Temporal Frequency Distribution
Changjun He, Hua Geng, Xiuqiang He, Chen Shen, Yushuang Liu

TL;DR
This paper introduces a new analytical model for assessing power system frequency security with high renewable penetration, focusing on nodal frequency dynamics and a system-level security index.
Contribution
It develops a generic effective nodal frequency model and a frequency security index, enabling efficient offline-online assessment of frequency security in renewable-rich power systems.
Findings
ENI is the most influential parameter for frequency security.
The proposed index accurately evaluates system frequency security.
Simulations confirm the effectiveness of the assessment method.
Abstract
The increasing integration of renewable energy sources exacerbates the spatial and temporal differences in frequency across the power system, posing a serious challenge to the accurate and efficient assessment of system frequency security. To address this issue, a generic effective nodal frequency (ENF) model is first established to concisely characterize nodal frequency dynamics. This model is featured by the effective nodal inertia (ENI), damping, and primary regulation parameters, which retain only the dominant constant component governing nodal frequency dynamic performance. This model enables the tractable analytical formulation of nodal frequency trajectory and the key frequency security indicators. Quantitative analysis under the temporary power disturbance condition reveals that the ENI is the most influential parameter governing frequency security. Consequently, the critical…
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