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Method for fast identification of dominant oscillation mode based on random subspace

A technology of random subspace and oscillation mode, applied in the direction of reducing/preventing power oscillation, circuit devices, AC network circuits, etc., can solve the problems of reducing efficiency, reducing the real-time performance of online monitoring of power system dynamic stability, etc., achieving fast calculation efficiency, The effect of accurate power grid dynamic stability information and improved response speed

Inactive Publication Date: 2018-11-06
NORTHEAST DIANLI UNIVERSITY
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Repeated identification and calculation of multiple state subspaces with different dimensions will inevitably reduce the efficiency of using random subspaces to identify the dominant oscillation mode of the system, and reduce the real-time performance of online monitoring of power system dynamic stability.

Method used

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  • Method for fast identification of dominant oscillation mode based on random subspace
  • Method for fast identification of dominant oscillation mode based on random subspace
  • Method for fast identification of dominant oscillation mode based on random subspace

Examples

Experimental program
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Effect test

Embodiment 1

[0050] A fast identification method for dominant oscillation modes based on stochastic subspace, see figure 1 , the method includes the following steps:

[0051] 101: Obtain the measurement information of the power system from the wide-area measurement system, and construct the extended observable matrix of the random subspace of the power system according to the measurement information;

[0052] 102: Calculate the state matrix of the reduced-order state equation of the system according to the extended observable matrix of the random subspace;

[0053] 103: Calculate the inverse matrix of the generalized inverse matrix of the state matrix;

[0054] 104: Calculate the eigenvalues ​​of the state matrix and the inverse matrix in the continuous space, and only retain the eigenvalues ​​in the low-frequency oscillation frequency interval of the power system;

[0055] 105: Identify the dominant oscillation mode of the system based on the mode similarity criterion.

[0056] Among t...

Embodiment 2

[0065] The scheme in embodiment 1 is further introduced below in conjunction with specific calculation formulas and examples, see the following description for details:

[0066] 201: Obtain the measurement information of the power system from the wide-area measurement system (a technical term known to those skilled in the art, so I won’t repeat it here), and use the wide-area measurement information to construct the extended observable matrix of the random subspace of the power system O, including:

[0067] 1) Use the wide-area measurement signal y(t) to construct the Hankel matrix H of the random subspace of the power system:

[0068]

[0069] In the formula, Y P and Y F The expressions are:

[0070]

[0071]

[0072] In the formula, n is the maximum dimension of the pre-set reduced-order state equation of the system; b is the length of the wide-area measurement signal y(t).

[0073] 2) LQ decomposition of the Hankel matrix H:

[0074]

[0075] Wherein, the H...

Embodiment 3

[0122] The following combined with specific examples, Figure 2-Figure 8 , and Table 1-Table 3, carry out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:

[0123] This example takes the rapid identification of the dominant oscillation mode of the China Southern Power Grid as an example to verify the effectiveness of Embodiments 1 and 2 of the present invention.

[0124] Based on the operation mode data of China Southern Power Grid in 2013, in the time domain simulation process, the Chusui DC single-pole blocking fault is set, and the duration is 0.1s. After 0.1s, the single-pole in the blocking fault exits the operation. The active power of the tie line YC between Yunnan and Guangxi power grids is selected as the research object of this method. After being disturbed, the active power of the tie line YC changes as follows: figure 2 shown.

[0125] Using the active power simulation data of 1s to 20s on the tie line YC a...

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Abstract

The invention discloses a method for fast identification of a dominant oscillation mode based on a random subspace. The method comprises the following steps: obtaining measurement information of a power system from a wide area measurement system, and constructing an extended observable matrix of the random subspace of the power system according to the measurement information; according to the extended observable matrix of the stochastic subspace, calculating the state matrix of the reduced order state equation of the system; computing the inverse matrix of the generalized inverse matrix of thestate matrix; calculating the eigenvalues of the state matrix and the inverse matrix in the continuous space, and only the eigenvalues in the frequency range of the low frequency oscillation of the power system are reserved. Based on modal similarity quasi-side, the dominant oscillation mode of the system is identified. On the premise of ensuring the identification accuracy of the dominant oscillation mode, the invention improves the identification efficiency of the dominant oscillation mode of the power system based on the random subspace identification.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a method for quickly identifying oscillation modes of power systems based on random subspaces. Background technique [0002] With the continuous expansion of regional grid interconnection scale and large-scale grid integration of renewable energy, regional power oscillation has become an important factor that limits inter-regional transmission capacity and endangers the safe and reliable operation of power systems. Therefore, how to quickly, accurately and reliably identify the dominant oscillation mode of the power system has very important engineering practical value for improving the safety of power system operation. [0003] At present, the dominant oscillation mode identification of power system is divided into the oscillation mode analysis method based on the differential-algebraic model of the power system and the oscillation mode analysis method based on the wide-area measure...

Claims

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Application Information

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IPC IPC(8): H02J3/24
CPCH02J3/24H02J2203/20
Inventor 姜涛李雪陈厚合宋晓喆李国庆张儒峰王长江张嵩李晓辉
Owner NORTHEAST DIANLI UNIVERSITY
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