An identification method for broadband multi-oscillation mode components in power systems
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: 2020-01-14
BEIJING SIFANG JIBAO AUTOMATION
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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. The conventional Fourier transform is based on the data of a fixed data window for analysis, which often causes 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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[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 , get the three-phase phase voltage u a , u b , u c , three-phase phase current i a i b i c 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 voltage and...
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A recognition method for a broadband multi-oscillation-mode component in a power system. The method comprises: firstly collecting a three-phase voltage and three-phase current signal of an alternating-current line of a power grid to acquire a time-domain sequence of electric quantity; then choosing an appropriate data window to respectively perform Fourier transform on the phase voltage and phase current of the line, and performing spectral analysis thereon; further performing selective filtering on spectrum data to filter out a power-frequency component and a high-frequency component, so as to improve the anti-noise capacity of the recognition method; and next, by means of an iterative calculation method for a variational mode, reconstructing a time-domain discrete sequence based on the filtered frequency-domain data and calculating oscillation component characteristic information, thus realizing the recognition of a broadband multi-oscillation-mode component. The method can improve the recognition and response speed and improve the anti-noise capacity, and is applicable for recognizing and analyzing a broadband oscillation signal after electronization of the power of a power system.
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 prediction of China El...
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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