A method for identifying the load state of equipment in a medium-voltage distribution network

A technology of load status and grid equipment, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve problems such as high dimensionality, achieve the effects of improving identification accuracy, eliminating computing pressure, and enhancing expression ability

Active Publication Date: 2022-06-21
STATE GRID HUNAN ELECTRIC POWER +2
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is that: aiming at the technical problems existing in the prior art, the present invention provides a method for identifying the load status of medium-voltage distribution network equipment with simple implementation, high identification accuracy and high efficiency, and only requires a small amount of training Samples can be used to identify equipment load status, which solves the problem of excessive dimensionality of traditional identification methods

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[0039] The present invention will be further described below with reference to the accompanying drawings and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

[0040] like figure 1 As shown, the steps of the method for identifying the load state of the medium-voltage distribution network equipment in this embodiment include:

[0041] S1. Load state feature selection: select the state feature used to characterize the load state of the equipment to be identified;

[0042] S2. Feature extraction: obtain the power consumption data of the device to be identified at the identified measurement point and perform feature extraction to obtain a multi-dimensional feature sequence;

[0043]S3. Feature screening: perform differential calculation between the state features and the extracted feature sequences, respectively, to obtain the feature sequences after difference, calculate the correlation coefficient between each pair of fea...

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Abstract

The invention discloses a method for identifying the load state of equipment in a medium-voltage distribution network, which includes: S1. Selecting a state feature used to characterize the load state of the equipment to be identified; S2. Obtaining the power consumption data of the equipment to be identified at the identification measurement point and performing Feature extraction to obtain a multi-dimensional feature sequence; S3. Calculate the difference between the state features and the extracted feature sequences to obtain the differential feature sequence, calculate the correlation coefficient between the two in the differential feature sequence, and filter out the required Feature sequence; S4. Remap the screened feature sequence into a two-dimensional multi-channel matrix; S5. Use the deep convolutional neural network to perform model training on the two-dimensional multi-channel matrix to obtain a prediction model; S6. Use the prediction model to identify the device Identify real-time load status. The invention only needs a small amount of training samples to realize equipment load status identification, and has the advantages of simple implementation method, identification accuracy and high efficiency.

Description

technical field [0001] The invention relates to the technical field of medium-voltage distribution network equipment monitoring, in particular to a method for identifying the load state of medium-voltage distribution network equipment. Background technique [0002] Non-intrusive load monitoring (NILM) refers to the installation of measuring equipment at the user's electricity entrance to collect power data such as voltage, current, frequency, power, etc., and decompose it into the power consumption status of independent equipment. The method of information such as electricity consumption. The user's electricity consumption behavior information obtained from load monitoring can provide a basis for the power grid company to formulate advanced electricity consumption strategies such as dispatching and demand response, and can also provide a reference for users to formulate a reasonable electricity consumption plan. [0003] Non-intrusive load monitoring (NILM) is a key compone...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/10H02J2203/20H02J2310/70
Inventor 刘谋海任浪黄瑞周纲杨茂涛胡军华陈浩吴志勇贺星刘治国杨静
Owner STATE GRID HUNAN ELECTRIC POWER
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