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Identification method for broadband oscillation mode components of power system

An oscillation mode, power system technology, applied in spectrum analysis, measurement of electrical variables, measurement devices, etc., can solve problems such as frequency leakage

Active Publication Date: 2018-06-12
BEIJING SIFANG JIBAO AUTOMATION
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Problems solved by technology

More importantly, the formation mechanism of this subsynchronous oscillation is inconsistent with that of the traditional power system. It is caused by the subsynchronous harmonics introduced by the collection of a large number of new energy sources. The method of harmonic analysis such as oscillation is mainly based on the conventional Fourier transform and digital filtering methods. The conventional Fourier transform is based on the data of a fixed data window for analysis, which often produces the problem of frequency leakage, while the digital The filtering method needs to solve the problem of frequency adaptability and long delay

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  • Identification method for broadband oscillation mode components of power system
  • Identification method for broadband oscillation mode components of power system
  • Identification method for broadband oscillation mode components of power system

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Embodiment Construction

[0050] The specific implementation of the technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0051] A power system broadband multi-oscillation mode component identification process is as follows: figure 1 As shown, the following takes the implementation of the algorithm at the WAMS master station as an example to introduce the specific implementation process. The algorithm implementation includes the following steps:

[0052] 1. At the sampling frequency f s Collect the three-phase phase voltage u of the line to be monitored a , u b , u c , three-phase phase current i a i b i c , to obtain the three-phase phase voltage u a , u b , u c , three-phase phase current i a i b i c The time series u a (k), u b (k), u c (k), i a (k), i b (k), i c (k), in this implementation case, the line sampling data obtained by the WAMS master station is based on the acquisition of the three-phase v...

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Abstract

Provided is an identification method for broadband oscillation mode components of a power system. According to the method, three-phase phase voltage and current signals of an AC line of the power gridare collected to obtain an electric quantity time-domain sequence, a proper data window is selected to carry out Fourier transform on phase voltages and currents of the line and further to carry outspectrum analysis, spectrum data is filtered selectively, power-frequency and high-frequency components are removed by filtering, and thus, an anti-noise capability of the identification method is improved; and a variation modal iterative computation method is used, a time-domain discrete sequence is reconstructed and characteristic information of oscillation components is calculated on the basisof filtered frequency-domain data, and thus, the broadband oscillation mode components are identified. According to the method, the identification response speed and anti-noise capability can be improved, and the method is suitable for identifying and analyzing broadband oscillation signals after that the power system is power-electronized.

Description

technical field [0001] The invention belongs to the technical field of power system monitoring and control, and specifically relates to an analysis method suitable for identification of broadband multi-oscillation mode components in power systems, which can effectively extract and separate small-signal multi-oscillation mode signals, so that oscillations can be found in time for operation The personnel find the problem in time to ensure the safe and stable operation of the system. Background technique [0002] New energy represented by wind power and photovoltaics is developing rapidly, and the installed capacity of new energy power sources in some areas has exceeded 30% of the total installed capacity. By the end of 2014, the installed capacity of grid-connected wind power was 95.81 million kilowatts, an increase of 25.6%; the installed capacity of grid-connected solar power was 26.52 million kilowatts, an increase of 67.0%. [0003] According to the forecast of China Elec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/165
CPCG01R23/165
Inventor 常富杰王莹莹孙小晶刘志超刘全时伯年赵伟华马永斌
Owner BEIJING SIFANG JIBAO AUTOMATION