| Title |
Design and Validation of a Python-Based Ramp Controller for Mitigating Load Power Variability in AI Data Centers |
| Authors |
이채원(Chae-Won Lee) ; 송성윤(Sung-yoon Song) |
| DOI |
https://doi.org/10.5370/KIEE.2026.75.8.1712 |
| Keywords |
Short circuit ratio; AI datacenter; Power system stability; Ramp-rate control |
| Abstract |
The increasing load demand of AI data centers has raised concerns regarding its impact on power system voltage and generator output stability. Conventional active power and voltage control methods have limitations in suppressing generator output oscillations caused by rapid load fluctuations. This paper proposes an active power and voltage control scheme by integrating a Python-based external controller with a load injection method in the PSS®E environment, and validates its performance through comparison with generic models. Dynamic simulations are performed on the IEEE 118-bus test system at three buses with different short-circuit ratio (SCR) levels. The results demonstrate that applying a ramp-rate limit of 10 MW/min effectively stabilizes both bus voltage and generator output across all SCR conditions. In addition, the study suggests that AI data centers should be preferentially connected to strong grid buses, and that ramp-rate standards for large-scale power-electronics-based loads should be established. |