Analysis of Pumped Storage Plant Measurements for Power System Inertia Estimation

被引:1
作者
Li, Hongyu [1 ]
You, Shutang [1 ]
Chen, Chang [1 ]
Yu, Wenpeng [1 ]
Baldwin, Mark [2 ]
Liu, Yilu [1 ,3 ]
机构
[1] Univ Tennessee, EECS, Knoxville, TN 37996 USA
[2] Domin Energy, Richmond, CA USA
[3] Oak Ridge Natl Lab, Oak Ridge, TN USA
来源
2024 INTERNATIONAL CONFERENCE ON SMART GRID SYNCHRONIZED MEASUREMENTS AND ANALYTICS, SGSMA 2024 | 2024年
关键词
Inertia Estimation; Power System; Pump Trip-off; RoCoF; Renewable Penetration; FREQUENCY;
D O I
10.1109/SGSMA58694.2024.10571426
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper analyzes pumped storage plant data for grid inertia estimation amid rising renewable energy use. Traditional methods use sudden MW changes to estimate inertia using the swing equation. Pumped storage plants offer multiple MW change events for inertia estimation due to their various operation modes. Our analysis shows that pump turn-off events have distinct sudden MW changes ideal for inertia estimation. These events consistently display MW changes, negating the need for continuous MW data streaming. We also study the plant's operation patterns and their link to low inertia times. Our findings suggest the potential of using pump events for more informed decisions on grid reliability amidst renewable energy challenges.
引用
收藏
页数:4
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