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SPDMD-based power system oscillation mode and modal identification method

An oscillation mode and power system technology, applied in the field of power systems, can solve problems that affect calculation efficiency, cannot analyze system oscillation characteristics, and cannot consider system integrity, so as to improve efficiency, improve real-time monitoring capabilities, and improve dynamic stability. Effect

Active Publication Date: 2019-10-08
NORTHEAST DIANLI UNIVERSITY
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, this algorithm cannot comprehensively analyze the oscillation characteristics of the system from the perspective of multi-channels, so it cannot fully consider the integrity of the system, which greatly reduces the calculation accuracy while affecting the calculation efficiency
Therefore, the universal analysis of general power system wide-area measurement information still needs to be improved [1-3]

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  • SPDMD-based power system oscillation mode and modal identification method
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  • SPDMD-based power system oscillation mode and modal identification method

Examples

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Embodiment 1

[0058] A power system oscillation mode and mode identification method based on SPDMD, see figure 1 , the method includes the following steps:

[0059] 101: Perform DMD algorithm preprocessing on the multi-channel measurement signal x(t), use the matrix F that includes most of the dynamic information of the power system and introduce SVD to extract the oscillation mode and oscillation mode of the system, and then use the time amplitude coefficient to characterize each The energy weight corresponding to the oscillation mode, and screen out the oscillation mode and oscillation mode with a large energy weight;

[0060] Wherein, the above-mentioned multi-channel measurement signal x(t) is the measurement data collected by all PMUs. For example, one PMU collects the measurement signal of one generator, and the data collected by n PMUs is the wide-area measurement data.

[0061] 102: Transform the matrix composed of the first N-1 columns of measurement data sequences to calculate th...

Embodiment 2

[0066] The scheme in Example 1 will be further introduced in combination with specific calculation formulas and examples, see the description below for details:

[0067] 201: Use the PMU device to obtain multi-channel wide-area measurement data, perform standardized processing on it, and use the DMD algorithm to preprocess the standardized data;

[0068] 1) Standardize the measurement data as follows:

[0069] x i,new =(x i -mean(x i )). / std(x i ) (1)

[0070] where x i is the measurement data of a certain measurement channel, mean and std respectively represent the mean and standard deviation of the data vector. The purpose of standardizing the multi-channel measurement data is to make the measurement data at the same order of magnitude and make them comparable, making it easier to compare data and retain the inherent oscillation information of the measurement data.

[0071] 2) Perform DMD algorithm preprocessing on the standardized measurement data;

[0072] Since th...

Embodiment 3

[0204] In the following, in combination with specific examples, aiming at the power system oscillation mode and mode identification method based on the SPDMD algorithm proposed in the embodiment of the present invention, this example takes the IEEE-68 node system as an example for simulation analysis and verification, and the IEEE-68 node system Topology such as figure 2 As shown, see the description below:

[0205] In this calculation example, a three-phase short-circuit fault is set on the side of branch 46-49 near node 49 at 0.1s, the circuit breaker at node 49 trips at 0.26s, and the circuit breaker at node 46 trips at 0.28s. Taking generator G1 as the reference motor, and the relative rotor power angle and relative rotor angular velocity of other generators relative to the first generator as the signals to be identified, 16 generators generate 15 sets of relative rotor power angle signals and 15 sets of relative rotor power angle signals in total. Angular velocity signa...

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Abstract

The invention discloses a SPDMD-based power system oscillation mode and modal identification method comprising the steps: the energy weight corresponding to each oscillation mode is represented by thetime amplitude coefficient and the oscillation mode and the oscillation modal of high weight are selected out; a matrix formed by the previous N-1 columns of measurement data sequences is converted to calculate the initial amplitude coefficient, the penalty function term is introduced into the Frobenius norm term and the position of the non-zero elements in the initial amplitude coefficient is determined by ADMM, matrix encoding is performed on the initial amplitude coefficient and the value size of the non-zero elements in the initial amplitude coefficient is adjusted by using a pull multiplier method so as to obtain the optimal amplitude coefficient; and the dominant oscillation mode is determined by the correspondence between the non-zero elements in the optimal amplitude coefficient and each oscillation mode, and the collaborative identification and evaluation of the dominant oscillation mode, the dominant participation factor and the homology cluster are completed. The oscillation mode and modal identification of the power system can be realized, and the defect that the DMD algorithm cannot determine the number of the dominant oscillation mode can be overcome.

Description

technical field [0001] The present invention relates to the field of power systems, in particular to a power system oscillation mode and mode identification method based on Sparsity-Promoting Dynamic Mode Decomposition (SPDMD). Background technique [0002] The continuous expansion of inter-regional power grid interconnection, the increasing power load, the wide application of various power electronic equipment, and the continuous switching and use of long-distance large-capacity transmission lines have made the working status of the power system increasingly saturated. At the same time, during the operation of the power system, there will be more or less external disturbances, some disturbances will gradually disappear through the network itself, and some disturbances may gradually expand and affect the safe and stable operation of the power system. Even large-scale power outages. Therefore, it is of broad and far-reaching significance to accurately identify the disturbanc...

Claims

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Application Information

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IPC IPC(8): H02J3/24
CPCH02J3/24H02J2203/20
Inventor 李雪于洋姜涛李国庆陈厚合刘春晓李鹏李晓辉
Owner NORTHEAST DIANLI UNIVERSITY
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