Parameter Identification of Power Grid Subsynchronous Oscillations Based on Eigensystem Realization Algorithm

Xueyang Zeng, Gang Chen, Yilin Liu, Fang Zhang () and Huabo Shi
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Xueyang Zeng: State Grid Sichuan Electrical Power Research Institute, Chengdu 610041, China
Gang Chen: State Grid Sichuan Electrical Power Research Institute, Chengdu 610041, China
Yilin Liu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Fang Zhang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Huabo Shi: State Grid Sichuan Electrical Power Research Institute, Chengdu 610041, China

Energies, 2024, vol. 17, issue 11, 1-16

Abstract: The subsynchronous oscillation caused by the resonance between power electronic devices and series compensation devices or weak power grids introduced by large-scale renewable energy generation greatly reduces the transmission capacity of the system and may endanger the safe operation of the power system. It even leads to system oscillation instability. In this paper, based on the advantages of a simple solution, a small amount of calculation and anti-noise of ERA, a method of subsynchronous oscillation parameter identification based on the eigensystem realization algorithm (ERA) is proposed. The Hankel matrix in the improved ERA is obtained by splicing the real part matrix and the imaginary part matrix of the synchrophasor, thus solving the problem of angular frequency conjugate constraints of two fundamental components and two oscillatory components which are not considered in the existing ERA. The solution to this problem is helpful to improve the accurate parameter identification results of ERA under the data window of 200 ms and weaken the limitation caused by the assumption that the synchrophasor model is fixed. The practicability of the improved method based on PMU is verified by the synthesis of ERA and the actual measurement data. Compared with the existing ERA, the improved ERA can accurately identify the parameters of each component under the ultra-short data window and realize the dynamic monitoring of power system subsynchronous oscillation.

Keywords: subsynchronous oscillations (SSOs); parameter identification; synchrophasor; eigensystem realization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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