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Power oscillation detection method based on high-order cumulant and ESPRIT algorithm

A high-order cumulant and power oscillation technology, which is applied in the direction of reducing/preventing power oscillation, measuring electric power, measuring devices, etc., can solve the problems that the accuracy of oscillation detection results cannot be guaranteed, the effect is not good, etc., and the calculation speed is fast , simple operation steps, good application prospects

Pending Publication Date: 2020-11-10
JIANGSU FRONTIER ELECTRIC TECH +1
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Problems solved by technology

These signal analysis methods have their own characteristics and have been improved in terms of computing speed, but they are not effective in suppressing Gaussian noise, which makes the accuracy of oscillation detection results not guaranteed.

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  • Power oscillation detection method based on high-order cumulant and ESPRIT algorithm
  • Power oscillation detection method based on high-order cumulant and ESPRIT algorithm
  • Power oscillation detection method based on high-order cumulant and ESPRIT algorithm

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Embodiment Construction

[0038] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0039] The present invention proposes a power oscillation detection method based on high-order cumulant and ESPRIT algorithm, such as figure 1 As shown, the steps are as follows:

[0040] S1: update the electrical signal data sampled by the phasor measurement unit (PMU) in the system;

[0041] S2: Perform signal preprocessing on the collected data;

[0042] S3: Calculate the fourth-order cumulant of the preprocessed signal;

[0043] S4: replacing the original signal data with the fourth-order cumulant of the signal obtained in step S3;

[0044] S5: Using the ESPRIT (Estimating Signal Parameter via Rotational Invariance Techniques, ESPRIT) algorithm for the data output in step S4 to identify power oscillations;

[0045] S6: Determine whether power oscillation occurs according to the identification result: if oscillation occurs, output os...

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Abstract

The invention discloses a power oscillation detection method based on a high-order cumulant and an ESPRIT algorithm, and the method introduces the high-order cumulant, can shield the interference of white Gaussian noise and colored noise to a signal, and also can reserve the effective information related to oscillation in the signal. In order to eliminate the influence of measurement data noise onpower oscillation detection and overcome the defects of an existing method, related preprocessing needs to be carried out on signals firstly, then high-order cumulants are used for replacing originalsignals, and finally ESPRIT identification is carried out. The method is simple in operation step and high in operation speed, and therefore the method has better application prospects.

Description

technical field [0001] The invention belongs to the field of power system oscillation detection, and in particular relates to a power oscillation detection method. Background technique [0002] With the continuous expansion of the grid scale, the access of new energy power generation systems, and the emergence of regional grid interconnection, power oscillation accidents in the system have become more frequent, which seriously threatens the safe and stable operation of the grid. Timely and accurate detection of power system power oscillation can provide effective oscillation information for dispatching, which is conducive to taking timely measures to suppress and eliminate power oscillation and ensure the stable operation of the power system, so it is of great significance. [0003] The current common power oscillation analysis methods can be divided into two categories, one is linear analysis method, and the other is signal analysis method based on measured data. The linea...

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Application Information

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IPC IPC(8): G01R21/00H02J3/24
CPCG01R21/00H02J3/24Y04S10/22Y02E40/70Y02E60/00
Inventor 杨宏宇吕万吴熙顾文颜全椿姚瑶汪泓孙平平黄佳星梅睿封建宝花婷婷季洁
Owner JIANGSU FRONTIER ELECTRIC TECH