A Method for the Evaluation of Generator Damping During Low-Frequency Oscillations

Sun, Zhenglong; Cai, Guowei; Yang, Deyou; Liu, Cheng; Wang, Bo; Wang, Lixin

doi:10.1109/tpwrs.2018.2868717

Cited by 14 publications

(2 citation statements)

References 19 publications

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“…However, it is worth noting that a direct-drive wind farm in Hami, Xinjiang, China, also experienced continuous power SSO problems. Unlike the previous doubly fed wind turbine [6], this time involves D-PMSGs. The occurrence of this accident has attracted much attention from experts and scholars because D-PMSGs occupy an increasingly important position in wind farms [7].…”

Section: Introductionmentioning

confidence: 99%

Research on Sub-Synchronous-Oscillation Energy Analysis and Traceability Method Based on Refined Energy

Zhang,

Yang,

Zhou

et al. 2024

Energies

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At present, most studies use the direct method to analyze the oscillation problem of modern power systems. However, these studies often only simplify the external characteristics of the wind turbine and lack an in-depth understanding of its internal refined energy structure. In this paper, based on the direct-drive permanent magnetic synchronous generator’s detailed model (D-PMSG), combined with the dynamic energy of its port, layers of analysis are performed on the wind turbine’s internal connections, and a detailed model of the energy structure is created. Then, the interaction mechanism of each control link in the wind turbine is analyzed by combining the energy function of the wind turbine with the improved perturbation method. Finally, this paper constructs a sub-synchronous oscillation (SSO) scenario of weak damping and a forcing type and proves the accuracy and effectiveness of the traceability method based on the refined energy of D-PMSG. This traceability method based on refined energy is expected to provide a new solution to the stability problem caused by the integration of new energy.

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Section: Introductionmentioning

confidence: 99%

Research on Sub-Synchronous-Oscillation Energy Analysis and Traceability Method Based on Refined Energy

Zhang,

Yang,

Zhou

et al. 2024

Energies

Self Cite

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“…At present, there are many methods used to analyze LFO, such as discrete Fourier transform (DFT) [8], empirical mode decomposition (EMD) [9], wavelet-based methods [10], Hilbert-Huang transform (HHT) [11], estimation of signal parameters via rotational invariance technique (ESPRIT) [12][13][14], matrix pencil [15] and the Prony algorithm [16].…”

Section: Introductionmentioning

confidence: 99%

Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method

et al. 2021

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The paper presents a multiaspect analysis of multivalues and the broadband nature of system oscillation. By analyzing the ambient signal caused by random small disturbances during the normal operation of interconnected power grids, many system operation characteristics can be obtained. The traditional signal processing method cannot extract the information from ambient signals effectively. Aiming at the problem of broadband oscillation mode superposition and the difficulty of extracting information from ambient signals, an iterative adaptive variational mode decomposition (IA-VMD) method is proposed based on frequency domain analysis and signal energy. Additionally, the IA-VMD method, combined with a bandpass filter and the Prony algorithm, is used to realize the modal identification of broadband oscillation and ambient signals. Simulation experiments show that the IA-VMD method has good adaptability, antinoise characteristics, and a certain significant engineering application value as well.

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A hybrid modified grey wolf optimization‐sine cosine algorithm‐based power system stabilizer parameter tuning in a multimachine power system

Devarapalli

Bhattacharyya²

2020

Optim Control Appl Methods

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SummaryDamping of low‐frequency oscillations due to the unpredictable perturbations of a power network has always been a challenging task. In an interconnected power network, power system stabilizers (PSSs) are in practice to damp out these low‐frequency oscillations by providing a necessary control signal to the automatic voltage regulator unit based on the deviation in generator speed/power output. This article proposes a novel approach of hybrid modified grey wolf optimization‐sine cosine algorithm for tuning the parameters of PSS of an interconnected multimachine power system. The optimal parameter tuning of PSS with the proposed algorithm is achieved by considering a multiobjective function comprises of improving the damping and eigenvalue characteristics of the consolidated multimachine system. A benchmark model of two area four machine system is adopted to investigate the performance achieved with the proposed algorithm in the simultaneous damping of the local and interarea mode of oscillations in a multimachine power system. The system study has been carried out under a self‐clearing fault condition, and the detailed analysis is presented by analyzing the eigenvalues, and their corresponding natural frequencies, damping ratios. The damping nature achieved for the system states under system uncertainties with the proposed algorithm is also presented. The performance obtained from the proposed hybrid algorithm has been compared with the standalone and state‐of‐the‐art optimization methods.

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A Method for the Evaluation of Generator Damping During Low-Frequency Oscillations

Cited by 14 publications

References 19 publications

Research on Sub-Synchronous-Oscillation Energy Analysis and Traceability Method Based on Refined Energy

Research on Sub-Synchronous-Oscillation Energy Analysis and Traceability Method Based on Refined Energy

Identification of Mode Shapes Based on Ambient Signals and the IA-VMD Method

A hybrid modified grey wolf optimization‐sine cosine algorithm‐based power system stabilizer parameter tuning in a multimachine power system

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