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Transformer area identification method and system based on salient feature selection

A technology of feature selection and identification method, applied in the field of power system, can solve the problems of large data transmission volume and low transmission efficiency, and achieve the effect of reducing data volume, improving accuracy and anti-interference ability

Pending Publication Date: 2021-01-29
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method based on feature comparison is easily affected by the noise signal and signal stability, and at the same time, the data transmission volume is large and the transmission efficiency is not high when making judgments.

Method used

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  • Transformer area identification method and system based on salient feature selection
  • Transformer area identification method and system based on salient feature selection
  • Transformer area identification method and system based on salient feature selection

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Experimental program
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Effect test

Embodiment 1

[0047] Embodiment 1 of the present invention provides a station area identification method based on salient feature selection, please refer to figure 1 As shown, it includes the following steps:

[0048] 110. A first detection device and a second detection device are respectively installed on each transformer end and user end, and both the first detection device and the second detection device store voltage change waveform data corresponding to the power grid cable at the same time period .

[0049] figure 2 Shows the topological structure diagram of the station area identification system based on salient feature selection, please refer to figure 2 As shown, the system includes a plurality of first detection devices installed at the transformer end and a plurality of second detection devices installed at the user end (customer ammeter end). Both the first detection device and the second detection device can be built in the form of a memory, a processor, and a communicatio...

Embodiment 2

[0085] The station area identification system based on the selection of salient features may include:

[0086] A first detection device and a second detection device; wherein: there are multiple first detection devices, which are respectively installed on corresponding transformer terminals, and there are multiple second detection devices, which are respectively installed on corresponding user terminals; Both the first detection device and the second detection device store the voltage change waveform data corresponding to the power grid cable in the same period;

[0087] The target first detection device acquires the waveform data of the adjacent first detection device. The adjacent first detection device is the first detection device installed on the transformer end adjacent to the target transformer end corresponding to the target first detection device. The waveform data stored by the detection device is recorded as target waveform data, and the waveform data adjacent to th...

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Abstract

The embodiment of the invention relates to the technical field of power systems, and discloses a transformer area identification method and system based on salient feature selection. The method comprises the steps that a first detection device and a second detection device are installed at each transformer end and each user end respectively, and voltage change waveform data in the same time periodare stored in the first detection devices and the second detection devices; a target first detection device acquires waveform data of the adjacent first detection device; the target first detection device constructs an optimal feature set based on the target waveform data and the adjacent waveform data; and the target first detection device sends the optimal feature set to the corresponding second detection device, and the second detection device determines a related feature set according to the optimal feature set and compares the optimal feature set with the related feature set to determinea transformer area to which the corresponding user end belongs. By implementing the embodiment of the invention, the accuracy and the anti-interference capability of transformer area identification can be remarkably improved, and the volume of data needing to be sent during transformer area identification is reduced.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a method and system for station area identification based on salient feature selection. Background technique [0002] With the continuous development of power grid construction, the lean management of the station area has become a trend. The user identification of the station area is the basis for the power company to realize the lean management of the station area and reduce the consumption and loss, but the implementation of the station area identification on site is relatively difficult. [0003] At present, the equipment for station area identification is mainly based on two technologies, one is based on carrier communication technology, and the other is based on pulse current technology. At present, technicians have also proposed a method based on feature comparison to judge the station-region relationship based on the carrier communication technology. Station area i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G06F17/18
CPCG01R31/00G06F17/18
Inventor 李品磊莫淼许博文王照
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD