Power system low-frequency oscillation mechanism analysis method based on micro-disturbance signal oscillation mode recognition

Abstract

The invention discloses a power system low-frequency oscillation mechanism analysis method based on micro-disturbance signal oscillation mode recognition. The method comprises the following steps of: providing a basis for judgment of oscillation mechanism types of power grid low-frequency oscillation accidents by using oscillation components provided by micro-disturbance recognition result in theprocess of a low-frequency oscillation accident; timely discovering a system running weak link and a potential oscillation source by performing statistic analysis on an entire-grid low-frequency oscillation mode oscillation frequency and damping ratio result which is calculated by micro-disturbance recognition in the given running time period; and establishing a corresponding relation between entire-grid oscillation mode characteristic change and system running condition parameter change to provide a basis for system running adjustment by performing multi-variable association analysis on the entire-grid low-frequency oscillation mode oscillation frequency and damping ratio result which is calculated by micro-disturbance recognition in the given running time period and the system running condition parameter.

Description

technical field [0001] The invention belongs to the technical field of power system stability analysis, and in particular relates to a low-frequency oscillation mechanism analysis method of a power system based on micro-disturbance signal oscillation mode identification. Background technique [0002] With the expansion of the interconnection scale of the power system and the adoption of the fast excitation system of large-scale units, the problem of low-frequency oscillation has become increasingly prominent, and the safe and stable operation of the power system is facing a huge challenge. Judging from several low-frequency oscillation accidents that have occurred at home and abroad, this kind of accident is seriously harmful to the power grid and greatly restricts the power transmission capacity of the power grid. In order to better understand the phenomenon of low-frequency oscillations in power systems, and to take preventive and control measures more accurately, it is ur...

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Problems solved by technology

[0008] Aiming at the problem of parameter accuracy in the model method used in negative damping mechanism oscillation analysis, and at the same time in view of the fact that the measured large disturbance signal can only provide limited information on system characteristics, the present invention provides a low-frequency oscillation mechanism analysis method based on micro-disturbance signal identification. On the one hand, the low-frequency oscillation detection method of the large-disturbance signal is assisted by the identification results of the micro-disturbance signal to analyze the low-frequency oscillation accident;

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