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Harmonic data anomaly detection method, terminal equipment and storage medium

A technology for data anomaly and detection methods, applied in data processing applications, complex mathematical operations, instruments, etc., can solve the problems of heavy Fourier calculation workload, spectrum leakage, and poor reliability of harmonic detection methods, and improve the The effect of economic benefits and service quality, reducing human and material expenditures, and improving safe operation capabilities

Inactive Publication Date: 2019-10-11
XIAMEN UNIV OF TECH
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Problems solved by technology

[0003] Harmonic anomaly detection based on Fourier transform is the most widely used in practice at present, but the disadvantage of Fourier transform's spectrum leakage effect makes the harmonic detection method based on it unreliable, and Fourier calculation work The amount is very large, and the accuracy of the results cannot meet the actual requirements.
The theoretical basis of wavelet transform is Fourier transform, which has characteristics different from Fourier transform. However, wavelet transform has shortcomings. Its structural model is not easy to build and its reliability is not high.
[0004] The theory of Artificial Neural Networks (Artificial Neural Networks) belongs to an edge-crossing subject, which is developing rapidly and is new. Its theoretical basis is bionics, and it has a strong self-learning ability. However, it requires a large number of training samples, At present, there is no standard artificial neural network construction method, and the calculation method has a serious dependence on the training samples.

Method used

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  • Harmonic data anomaly detection method, terminal equipment and storage medium
  • Harmonic data anomaly detection method, terminal equipment and storage medium
  • Harmonic data anomaly detection method, terminal equipment and storage medium

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Effect test

Embodiment 1

[0051] Embodiment 1 of the present invention provides a method for detecting abnormal harmonic data, including the following steps:

[0052] Step 1: Collect the harmonic data of the equipment.

[0053] In this embodiment, the power quality analyzer is used to collect the harmonic current data of the air conditioner in the laboratory. Since the air conditioner is connected to the power grid in three phases, when the power quality analyzer is installed, the A, B, and C phases of the public grid must be It corresponds to the three-phase measuring current transformer of the power quality analyzer. The duration of harmonic current data acquisition is nearly five hours, the ambient temperature of the laboratory is 24°C, and the working temperature of the equipment is set to 23°C.

[0054] The collected harmonic current data is exported using the software PQ Diffractor, from which the effective value of the third harmonic current of the three phases A, B, and C is extracted. Becaus...

Embodiment 2

[0122] The present invention also provides a harmonic data anomaly detection terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the computer program is implemented when the processor executes the computer program. Steps in the above method embodiment of Embodiment 1 of the present invention.

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Abstract

The invention relates to a harmonic data anomaly detection method, terminal equipment and a storage medium. The method comprises the following steps: S1, collecting harmonic current data generated bythe equipment in a period of time sequence as a data set; S2, constructing a forest composed of a plurality of isolated trees according to the collected data set; S3, calculating the path length of each harmonic data in the data set; S4, calculating the average path length of all data in the data set; S5, calculating an abnormal score of each harmonic data; and S6, determining whether each harmonic data is abnormal or not according to the abnormal score of each harmonic data. The invention achieves the abnormality detection of the harmonic data through the isolated forest algorithm, reduces the expenditure of manpower and material resources, improves the economic benefits and service quality, improves the management level of a power grid, and also improves the safety operation capability of the power grid.

Description

technical field [0001] The present invention relates to the technical field of harmonic data abnormality detection, in particular to a method for detecting harmonic data abnormality, a terminal device and a storage medium. Background technique [0002] Since power network transmission generally operates in an open-air environment, the voltage and current during power transmission may be affected by occasional events such as lightning strikes. In the generated harmonic data, there will be data that are quite different from the daily monitoring harmonics and last for a short time, and these abnormal harmonic data will affect the accuracy of harmonic normality analysis. Studying the abnormal detection of harmonic data, mastering the actual situation of harmonics in the power system, and preventing abnormal harmonics from harming the power grid have an important impact on promoting the safe operation of the power network, improving economic benefits, enhancing the management lev...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06K9/62G06F17/15
CPCG06Q50/06G06F17/15G06F18/214
Inventor 吕志盛刘泽清
Owner XIAMEN UNIV OF TECH
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