Risk assessment of power system frequency based on dynamic inertia factor

Authors

• Jie FU, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China; Anhui Provincial Key Laboratory of Industrial Energy Conservation and Electrical Safety, Anhui University, Hefei 230601, China
• Qian ZHANG, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China; Anhui Provincial Key Laboratory of Industrial Energy Conservation and Electrical Safety, Anhui University, Hefei 230601, ChinaFollow

Keywords

inertia factor; equivalent inertia; transient stability; frequency security; risk assessment

Abstract

Against the background of the continuous integration of a high proportion of renewable energy into the power system, the system inertia provided by traditional synchronous units shows a continuous downward trend, which significantly increases the risk of power system frequency instability. A frequency risk assessment method based on the dynamic inertia contribution factor (DICF) is proposed to solve the problem of insufficient spatiotemporal resolution in traditional static inertia assessment. By defining the dynamic equivalent inertia, the real-time contribution of each unit to the system inertia is quantified, and the weighted inertia-risk index (WIRI) is constructed. Combined with the frequency deviation rate, the dynamic classification and early warning of risks are achieved. Simulation experiments show that the DICF and the WIRI can track the inertia contribution status of each generator in real time and the risks during faults.

DOI

10.19781/j.issn.1673-9140.2026.02.004

First Page

45

Last Page

53

Recommended Citation

FU, Jie and ZHANG, Qian (2026) "Risk assessment of power system frequency based on dynamic inertia factor," Journal of Electric Power Science and Technology: Vol. 41: Iss. 2, Article 4.
DOI: 10.19781/j.issn.1673-9140.2026.02.004
Available at: https://jepst.researchcommons.org/journal/vol41/iss2/4