On the Relationship between Ultra Low Frequency Oscillation and Power System Inertia

被引:2
作者
Seppanen, Janne [1 ]
Lehtonen, Matti [1 ]
Kuivaniemi, Mikko [2 ]
Haarla, Liisa [2 ]
机构
[1] Aalto Univ, Dept Elect Engn, Espoo, Finland
[2] Fingrid Oyj, Syst Operat Dev, Power Syst Engn, Helsinki, Finland
来源
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM | 2023年
关键词
Frequency stability; inertia; mode meter; ultra low frequency oscillation; MODAL-ANALYSIS;
D O I
10.1109/PESGM52003.2023.10252658
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
In recent years, ultra low frequency oscillation (ULFO) has been observed in various power systems. In the ULFO phenomenon, the frequency of the system continuously slowly oscillates around the nominal value. Such oscillation exists also in the Nordic power system, where the frequency of the system oscillates around the nominal 50 Hz value with a period of around 40 to 90 s. Such oscillation deteriorates the frequency quality of the system, might cause unnecessary control actions and wear and tear of turbines, and potentially even risk the frequency stability of the system. This paper analyses the characteristics of the ULFO during the latest seven years in the Nordic power system. The paper shows, based on measurements, that the ULFO has a relationship with the inertia of the system. More specifically, system inertia is clearly correlated with the frequency of the ULFO. As the inertia of the system increases, the frequency of the ULFO decreases, and vice versa. Furthermore, the amplitude of the ULFO is also correlated with inertia and smaller inertia leads to higher amplitude of the ULFO. These findings give important insight into the characteristics of ULFOs and similar analysis is also recommended for other power systems experiencing an ULFO phenomenon.
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页数:5
相关论文
共 18 条
  • [1] [Anonymous], 2017, THESIS
  • [2] Cebeci M. E., EFFECTS HYDRO POWER
  • [3] Research on Damping Control Index of Ultra-Low-Frequency Oscillation in Hydro-Dominant Power Systems
    Chen, Gang
    Liu, Chang
    Fan, Chengwei
    Han, Xiaoyan
    Shi, Huabo
    Wang, Guanhong
    Ai, Dongping
    [J]. SUSTAINABILITY, 2020, 12 (18)
  • [4] Research on Simulation Accuracy of Ultra-low Frequency Oscillation in Power System with High Proportion of Hydropower
    Chen, Gang
    Liu, Chang
    Wang, Guanhong
    Ai, Dongping
    Shi, Huabo
    Li, Yan
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 834 - 838
  • [5] Han XY, 2018, INTL CONF POWER SYST, P1909, DOI 10.1109/POWERCON.2018.8601741
  • [6] IEEE Task Force on Identification of Electro-Mechanical Modes, PESTR15 IEEE
  • [7] Liang Cheng, 2019, 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2), P1424, DOI 10.1109/EI247390.2019.9062123
  • [8] Analysis of Very Low Frequency Oscillations in Hydro-Dominant Power Systems Using Multi-Unit Modeling
    Pico, Hugo Villegas
    McCalley, James D.
    Angel, Andrea
    Leon, Ramon
    Castrillon, Neby J.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (04) : 1906 - 1915
  • [9] Qin Liu, 2019, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), P296, DOI 10.1109/ISGT-Asia.2019.8881141
  • [10] Algorithm 808: ARFIT - A Matlab package for the estimation of parameters and eigenmodes of multivariate autoregressive models
    Schneider, Tapio
    Neumaier, Arnold
    [J]. ACM Transactions on Mathematical Software, 2001, 27 (01): : 58 - 65