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A forced oscillation identification method based on pattern similarity

A technology of forced oscillation and identification method, which is applied in the field of power system, can solve problems such as prone to misjudgment, and achieve the effect of improving accuracy and clear determination process

Active Publication Date: 2019-01-22
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] These methods judge the type of oscillation from a single oscillation curve, and are prone to misjudgment when there is a similar free oscillation mode in the system, which needs to be improved.

Method used

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  • A forced oscillation identification method based on pattern similarity
  • A forced oscillation identification method based on pattern similarity
  • A forced oscillation identification method based on pattern similarity

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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and through specific embodiments. The following embodiments are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0032] The key of the present invention is to use the mode and modal information of the free oscillation component and the forced oscillation component in the forced oscillation to identify the forced oscillation. The mode and modal characteristics of the forced oscillation are as follows:

[0033] The power system is normalized, that is, the system to be analyzed is as follows:

[0034]

[0035] It is more convenient to solve the equation described by the formula using the mode superposition method. When solving it, the mode change matrix U is used, and the equation changes from the existing coordinate x to the principal coordinate z. Decoupling, the state equation in the new coordinates after tr...

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Abstract

The invention relates to a forced oscillation identification method based on pattern similarity. Firstly, a sample set is constructed by adopting an offline system through formulated pattern and modalsimilarity index, and a forced oscillation identifier is established based on the trained depth belief network. Secondly, by real-time monitoring the WAMS data, the large amplitude oscillation eventsare found, the mode and mode information of forced oscillation are recognized accurately based on pattern recognition and quantum clustering method, and the similarity index is calculated. Finally, the similarity index is inputted into the forced oscillation recognizer, and the oscillation properties are analyzed.

Description

technical field [0001] The invention belongs to the field of power systems, in particular to a forced oscillation recognition method based on pattern similarity. Background technique [0002] In recent years, due to the increase in the proportion of new energy sources and diversified loads, the power system has received more frequent and complex disturbances in the natural, social and complex grid structures, which makes the forced oscillation of the power system more frequent and difficult to identify . Forced oscillations are caused by the interaction between external disturbances and the intrinsic modes of the system, which contain not only mode information but also modal information. How to analyze the difference between forced oscillation and free oscillation from the perspective of mode-mode coupling, and use PMU data to identify forced oscillation is of great significance in power system stability analysis and control. [0003] The identification of forced oscillati...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2321G06F18/2413
Inventor 刘伟东陈彬李晓辉李磊刘小琛梁彬杨光邹琪
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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