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Online analyzing method for grid forced power oscillation caused by internal disturbance of power plant

A technology of forced power oscillation and analysis method, applied in the field of power system operation and control, can solve the problem of inability to analyze oscillation damping factor and attenuation, and achieve the effect of being suitable for real-time online calculation, shortening judgment time, and good accuracy

Active Publication Date: 2014-03-19
STATE GRID CORP OF CHINA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0047] Compared with the Prony analysis method, the FFT algorithm cannot analyze the damping factor and attenuation of the oscillation, which is very important for calculating the ΔP in formula (6). mij and Δω mi parameters have an impact

Method used

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  • Online analyzing method for grid forced power oscillation caused by internal disturbance of power plant
  • Online analyzing method for grid forced power oscillation caused by internal disturbance of power plant
  • Online analyzing method for grid forced power oscillation caused by internal disturbance of power plant

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] a. In the AC power grid, the branch connecting the power plant and the power grid is equipped with a synchronized phasor measurement unit PMU or a fault recording device;

[0085] b. When the on-line monitoring equipment monitors the low-frequency oscillation of the dominant oscillation frequency ω occurring in the power grid, the grid-side active power ΔP and frequency Δω of the branch connecting the power plant and the grid are measured and recorded through the synchronized phasor measurement unit PMU or fault recording device Data, it is assumed that the direction of power flowing from the grid to the power plant is positive;

[0086] c. Use the FFT fast Fourier transform analysis method to identify the parameters of the recorded ΔP and Δω, and obtain n frequency components ω of ΔP pi and the corresponding initial phase and the m frequency components ω of Δω ωj and the corresponding initial phase where, i∈{1,2,3,...,n}, j∈{1,2,3,...,m}, ω pi ,ω ωj ∈(0.1Hz,2.5H...

Embodiment 2

[0091] in the attached Figure 6 In the power system shown, when the power grid S records a low-frequency oscillation alarm, apply the present invention to analyze the recorded data of the power plant G1 connected to the grid point K1, and determine whether the oscillation is caused by the internal periodic disturbance of G1, and the implementation steps as follows:

[0092] a. in Figure 6 In the power system shown, a synchronized phasor measurement unit PMU is installed at node K1 where the power plant G1 is connected to the power grid;

[0093] b. A low-frequency oscillation with a dominant oscillation frequency of 1.367 Hz is detected in the grid S, that is, the online recording data of the active oscillation power ΔP and frequency Δω on the grid side of the connection point K1 between the power plant G1 and the grid S are analyzed, and the comparison chart of the recorded waveforms Such as Figure 7 shown;

[0094] c. Use the FFT analysis method to identify the parame...

Embodiment 3

[0103] in the attached Figure 6 In the power system shown, when the power grid S records a low-frequency oscillation alarm, apply the present invention to analyze the recorded data of the power plant G1 connected to the grid point K1, and determine whether the oscillation is caused by the internal periodic disturbance of G1, and the implementation steps as follows:

[0104] a. in Figure 6 In the power system shown, a synchronized phasor measurement unit PMU is installed at node K1 where the power plant G1 is connected to the power grid;

[0105] b. A low-frequency oscillation with a dominant oscillation frequency of 0.62 Hz is detected in the grid S, that is, the grid-side active oscillation power ΔP and frequency Δω at the connection point K1 of the power plant G1 and the grid S are analyzed on-line. The power reference direction is based on the grid Flow to the power plant is positive;

[0106] c. Use the FFT analysis method to identify the parameters of the recorded ac...

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Abstract

The invention discloses an online analyzing method for grid forced power oscillation caused by internal disturbance of a power plant and relates to the field of power system operation and control. The method is mainly used for judging whether the grid forced power oscillation is caused by internal periodical disturbance of the power plant. In actual operation of a grid, the forced power oscillation caused by generator disturbance is the most common oscillation mode, but whether grid oscillation is caused by the internal disturbance of the power plant where the grid is connected or by the disturbance at the grid end is difficult to judge directly through the characteristics of oscillation amplitude, frequency and the like. Therefore, the method is provided to identify measured data parameters of the power plant connected into grid nodes based on FFT (fast Fourier transform) and conduct energy flow phase difference analysis to judge whether the grid oscillation is caused by the internal disturbance of the power plant where the grid is connected. By means of the method, judgment can be conducted directly at a measuring terminal, and the method is simple in calculation and high in analyzing speed and has good actual application value.

Description

technical field [0001] The invention relates to the field of power system operation and control, more specifically, parameter identification based on FFT fast Fourier transform, by analyzing the energy flow phase difference of the power plant connected to the power grid node, online judging whether the power oscillation of the power grid is caused by the power grid connected to the power plant caused by internal periodic disturbances. Background technique [0002] Under the disturbance of the power system, the relative swing between the rotors of the motor will occur and cause continuous oscillation in the absence of damping. The oscillation frequency ranges from 0.1 to 2.5Hz, so it is called low-frequency oscillation. The forced oscillation theory has a good explanation for some actual power oscillations, and is increasingly recognized by experts and scholars at home and abroad. The theory believes that when the frequency of the system is subjected to external continuous pe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08
CPCY04S10/265Y02E60/728Y02E40/70Y02E60/00Y04S10/00Y04S10/22
Inventor 杨东俊熊秀文赵红生魏聪乔立
Owner STATE GRID CORP OF CHINA
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