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A traveling wave fault location method based on whale-optimized Kalman filter algorithm

A technology of Kalman filtering and ranging method, which is applied in the field of power technology and signal processing, can solve the problems of Kalman filtering divergence, affecting the accuracy of the algorithm, and the large difference between the estimated value and the real value, and achieve the effect of fast and accurate tracking

Active Publication Date: 2022-07-12
NANCHANG UNIV
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Problems solved by technology

If the initial state value of the system is too large, the corresponding error of the optimal estimated value given by the Kalman filtering algorithm will be relatively large, resulting in a large difference between the estimated value and the real value of the predicted point. In many cases, the initial state value of the system is too large. The conference will cause the Kalman filter to diverge, which will affect the accuracy of the algorithm

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  • A traveling wave fault location method based on whale-optimized Kalman filter algorithm
  • A traveling wave fault location method based on whale-optimized Kalman filter algorithm
  • A traveling wave fault location method based on whale-optimized Kalman filter algorithm

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[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0055] like figure 1 As shown, ATP / EMTP can accurately describe the traveling wave process and phenomenon caused by various faults and disturbances in the transient process, and the results are very close to the actual situation. Therefore, the present invention establishes a fault traveling wave double-ended ranging model based on the ATP electromagnetic simulation software.

[0056] like figure 2 and image 3 As shown, an implementation example of the present invention discloses a traveling wave fault location method based on a whale-optimized Kalman filter algorithm, including the following steps:

[0057] Step1 establishes the power grid traveling wave space model of Kalman filter, and sets the state transition matrix and observation matrix according to the sy...

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Abstract

The invention discloses a traveling wave fault location method based on a whale-optimized Kalman filtering algorithm, and relates to the field of electric power technology. A wavelet base needs to be selected for wavelet transform, which does not have self-adaptability. The Kalman filtering algorithm is introduced, and at the same time the whale-optimized method is used. algorithm to tune the initial parameters of the Kalman filter. The whale optimization algorithm has the advantages of simple principle, easy process, and fast optimization speed. It can perform a global parallel random search for the objective function in the solution space, so that the Kalman filter algorithm can quickly and accurately track the signal, thereby reducing the ranging error. Wave ranging is more accurate.

Description

technical field [0001] The invention relates to the fields of electric power technology and signal processing, in particular to a traveling wave fault location method based on a whale-optimized Kalman filter algorithm. Background technique [0002] The key of traveling wave positioning and protection technology lies in the accurate detection of traveling wave signal. The commonly used wavelet transform uses different wavelet bases and decomposition scales to decompose and reconstruct the signal, and then supplemented by other algorithms, different signal processing effects can be obtained. However, the wavelet transform is greatly affected by factors such as the selection of the wavelet base and the decomposition scale. If the selection is improper, it is difficult to obtain the ideal effect and has no self-adaptation. [0003] The Kalman filter algorithm can detect the fundamental wave component in the power grid and is applied to fault detection in the relay protection; a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08G06F17/11G06F30/27G06N3/00H03H17/02
CPCG01R31/088G01R31/086G06F30/27G06F17/11G06N3/006H03H17/0257G06F2113/04Y04S10/52
Inventor 聂晓华王屹昆梁乐乐孙运
Owner NANCHANG UNIV
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