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Distribution transformer type selection recommendation method based on data driving

A distribution transformer, data-driven technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problem of not considering the difference in the selection of distribution transformers, and cannot provide a recommended method for user station selection. and other problems to achieve the effect of improving the reliability of power supply

Active Publication Date: 2020-11-24
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this invention does not consider the difference in type selection of different types of distribution transformers, and cannot provide a reasonable selection method for matching the corresponding user station area.

Method used

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  • Distribution transformer type selection recommendation method based on data driving
  • Distribution transformer type selection recommendation method based on data driving
  • Distribution transformer type selection recommendation method based on data driving

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] like figure 1 As shown, a data-driven distribution transformer selection recommendation method includes the following steps:

[0036] S1: Divide the application scenarios of distribution transformers, and determine the types of distribution transformers to be selected;

[0037] S2: Calculate the average value of the historical state scores of all distribution transformers of this type in S1 in the past 1 year;

[0038] S3: Calculate the average scores of various types of distribution transformers in S2 within one year according to the difference in the time of commissioning;

[0039] S4: The distribution transformer models with an average score of more than 90 points in the statistical operation time of 1 to 5 years; the distribution transformer models with an average operation time of 6 to 10 years and an average score of more than 85 points; the statistical operation time in 10 Models of distribution transformers with an average score of more than 80 points over the...

Embodiment 2

[0045] like figure 2 , image 3 As shown, the data-driven distribution transformer selection recommendation method according to the embodiment of the present invention is different from the first embodiment in that:

[0046] The method for dividing the application scenarios of distribution transformers includes the following steps:

[0047] Step (1): First, according to different types of distribution transformers and different regional characteristics, preliminarily classify the application scenarios of distribution transformers; Step (2): Extract features for clustering, and reduce the dimensionality of these features; Step (3): Use the improved K-means clustering algorithm to further divide the second type of application scenarios; Step (4): Use the CH index method to evaluate the clustering effect; Step (5): Analyze the evaluation results Finally, the final division result of the distribution transformer application scenario is obtained.

[0048] In step (2), the secon...

Embodiment 3

[0051] The data-driven distribution transformer selection recommendation method in the embodiment of the present invention is different from Embodiments 1 and 2 in that: when making selection recommendation for a distribution transformer in a certain application scenario, if the statistics are If there are more than 2 types of distribution transformers that meet the requirements in a certain commissioning time, the 2 distribution transformer models with higher scores in the commissioning period are recommended; otherwise, all distribution transformers that meet the requirements in the commissioning period are recommended. model.

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PUM

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Abstract

The invention discloses a distribution transformer type selection recommendation method based on data driving, and belongs to the technical field of power grid operation and maintenance. The method comprises the following steps: dividing application scenes of the distribution transformer, and determining the type of the distribution transformer of which the type is to be selected; respectively calculating average values of historical state scores of all the distribution transformers of the type in the S1 in the past one year; according to the difference of the commissioning time, respectivelycalculating average scores of the distribution transformers of various models in the S2 within one year; counting the models of the distribution transformers of which the commissioning time is 1-5 years and the average score exceeds 90 scores; counting the models of the distribution transformers of which the commissioning time is 6-10 years and the average score exceeds 85 scores; and counting themodels of the distribution transformers of which the commissioning time is more than 10 years and the average score exceeds 80 scores. According to the invention, distribution transformer model selection can be carried out objectively, so that the selected distribution transformer can be matched with the corresponding user transformer area more reasonably.

Description

technical field [0001] The invention relates to the technical field of power grid operation and maintenance, in particular to a data-driven selection and recommendation method for distribution transformers. Background technique [0002] As the most critical equipment in the distribution network, the distribution transformer (referred to as: distribution transformer) directly affects the power quality of users whether it can operate safely and reliably. Once the distribution transformer fails, it is likely to cause a power outage, which will seriously affect the user's power experience, and even cause huge economic losses and bad social impacts. However, at present, when the power grid related staff selects the distribution transformer, most of them are based on their own experience, from the perspective of economy, and then consider factors such as energy saving and safety. This method has high requirements on the overall quality of the staff involved in the selection. Once...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F16/2457G06F16/2458G06K9/62
CPCG06Q10/04G06Q10/06393G06Q10/0635G06Q50/06G06F16/2462G06F16/2457G06F18/23213Y04S10/50
Inventor 冯光王鹏张凯郭祥富牛荣泽陈明郝建国范敏范理波杨青
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST