TY - GEN
T1 - Long Term Characteristics of Ultra Low Frequency Oscillations in the Nordic Power System
AU - Seppanen, Janne
AU - Lehtonen, Matti
AU - Kuivaniemi, Mikko
AU - Haarla, Liisa
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In the Nordic power system, the frequency of the system oscillates constantly around the nominal 50 Hz value with a period of around 40 to 90 s, i.e., in the frequency range around 0.011-0.025 Hz. This ultra low frequency oscillation (ULFO) deteriorates the frequency quality in the entire system, causes unnecessary control actions and may cause wear and tear of turbines. In the worst case, the oscillation may endanger frequency stability of the system. This paper analyzes the properties of this oscillations during a period of seven years using an ambient modal identification method (mode meter). The paper shows that the ULFOs can be analyzed using ambient modal identification methods and a similar approach is recommended to be used for analyzing ULFOs in other power systems as well. Furthermore, the paper gives insight into the long term characteristics of the ULFOs in the Nordic power system and the results indicate that for example the amplitude of the ULFOs has an increasing trend during the analysis period (and their damping has a decreasing trend). These findings indicate a need for monitoring the ULFOs and develop actions for mitigating them.
AB - In the Nordic power system, the frequency of the system oscillates constantly around the nominal 50 Hz value with a period of around 40 to 90 s, i.e., in the frequency range around 0.011-0.025 Hz. This ultra low frequency oscillation (ULFO) deteriorates the frequency quality in the entire system, causes unnecessary control actions and may cause wear and tear of turbines. In the worst case, the oscillation may endanger frequency stability of the system. This paper analyzes the properties of this oscillations during a period of seven years using an ambient modal identification method (mode meter). The paper shows that the ULFOs can be analyzed using ambient modal identification methods and a similar approach is recommended to be used for analyzing ULFOs in other power systems as well. Furthermore, the paper gives insight into the long term characteristics of the ULFOs in the Nordic power system and the results indicate that for example the amplitude of the ULFOs has an increasing trend during the analysis period (and their damping has a decreasing trend). These findings indicate a need for monitoring the ULFOs and develop actions for mitigating them.
KW - Frequency control
KW - frequency stability
KW - inertia
KW - modal identification
KW - ultra low frequency oscillation
UR - http://www.scopus.com/inward/record.url?scp=85143835881&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Europe54678.2022.9960643
DO - 10.1109/ISGT-Europe54678.2022.9960643
M3 - Conference contribution
AN - SCOPUS:85143835881
T3 - IEEE PES Innovative Smart Grid Technologies Conference Europe
BT - Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
PB - IEEE
T2 - IEEE PES Europe Conference on Innovative Smart Grid Technologies
Y2 - 10 October 2022 through 12 October 2022
ER -