Synchronous machines' inertia estimation through PMU data-driven

被引：0
|
作者：
Sanchez, A. [1 ]
Ramirez, J. M. [1 ]
Paternina, M. R. A. [2 ]
Lugnani, L. [3 ]
Munguia, F. E. [4 ]
Zamora-Mendez, A. [5 ]
Rodriguez, J. R. [2 ]
Ramos-Guerrero, Manuel [2 ]
机构：
[1] CINVESTAV, Guadalajara, Jalisco, Mexico
[2] Univ Nacl Autonoma Mexico, Mexico City, DF, Mexico
[3] Univ Estadual Campinas, Campinas, Brazil
[4] IER UNAM, Temixco, Mexico
[5] Michoacan Univ San Nicolas Hidalgo, Morelia, Michoacan, Mexico
来源：
2023 NORTH AMERICAN POWER SYMPOSIUM, NAPS | 2023年
关键词：
Frequency; Inertia estimation; Real-time estimation; PMU; DYNAMIC STATE ESTIMATION;
D O I：
10.1109/NAPS58826.2023.10318755
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Numerous techniques have been implemented to calculate the synchronous machines' inertia and accurately assess it. Many use machine model simulation and offer a means of knowing the machines' inertia. This paper provides a novel strategy for estimating the synchronous machine's inertia online using PMU measurements. This proposal is based on the Teager-Kaiser energy operator used to identify the time of disturbances and the ARMAX method for estimating inertia.
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页数：7
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