Power system online prewarning method based on microdisturbance signal low-frequency oscillation mode identification

A low-frequency oscillation, power system technology, applied in the direction of fault location, etc.

CN102062832BActive Publication Date: 2013-01-16ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +2

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Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
Publication Date: 2013-01-16

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Abstract

The invention relates to a power system online prewarning method based on microdisturbance signal low-frequency oscillation mode identification, which comprises the following steps of: carrying out measuring point low-frequency oscillation mode analysis and calculation on a single data window of a single measuring point by adopting a slide average autoregression model; calculating and obtaining acalculating result of a plurality of data windows of a plurality of measuring points by a cluster analysis tool and storing a total-network range low-frequency oscillation mode oscillation frequency and damping ratio result; and then judging whether prewarning information needs to be transmitted or not according to the prewarning threshold value condition and realizing matching with a large disturbance monitoring alarm way. The method of the invention can fully excavate oscillation mode identification contained in a plurality of actual measurement microdisturbance signals when a power system is run and provide online prewarning for system running. Meanwhile, the method of the invention realizes continuous monitoring on the low-frequency oscillation mode of the power system; and combined with a statistic analysis method, the method can be used for disclosing the low-frequency oscillation mechanism and influence factor of a large-scale practical power system.

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Description

technical field

[0001] The invention belongs to the technical field of power system dynamic monitoring, and in particular relates to an online early warning method of a power system for determining the characteristics of a low-frequency oscillation mode of the system through identification of a micro-disturbance signal oscillation mode at multiple measurement points within the entire network. 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 the multiple 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.

[0003] The existing on-line mon...

Claims

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