Transformer area line loss calculation method based on correlation analysis and data mining

A correlation analysis and data mining technology, applied in relational databases, calculations, database models, etc., can solve the problems of low calculation efficiency and accuracy, inability to accurately and effectively mine the line loss correlation of the platform area, etc.

Inactive Publication Date: 2019-10-18
GUANGDONG POWER GRID CO LTD +1
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The present invention provides a platform based on correlation analysis and data mining to solve the problems that the existing station area line loss calculation method cannot accur

Method used

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  • Transformer area line loss calculation method based on correlation analysis and data mining
  • Transformer area line loss calculation method based on correlation analysis and data mining
  • Transformer area line loss calculation method based on correlation analysis and data mining

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Embodiment 1

[0065] A line loss calculation method based on correlation analysis and data mining, such as figure 1 shown, including the following steps:

[0066] S1. Obtain the electrical characteristic index data of the historical station area;

[0067] S2. Use the correlation analysis method to calculate the degree of correlation between the electrical characteristic index of each station area and the line loss rate of the station area, and filter to obtain the electrical characteristic index data with a degree of correlation higher than the preset value;

[0068] S3. According to the electrical characteristic index data obtained through screening, the clustering algorithm is used to cluster the station area, and the clustering result is obtained;

[0069] S4. Construct a deep belief network, and use the clustered electrical characteristic index data of various station areas to train the deep belief network respectively to obtain a line loss prediction model for the station area, which ...

Embodiment 2

[0071] A method for calculating line loss in a station area based on correlation analysis and data mining, comprising the following steps:

[0072] S1. Obtain n kinds of electrical characteristic index data of the station area in the past t years. The electrical characteristic index includes the attribute of the station area, the capacity of the distribution transformer, the power supply radius of the station area, the type of cable, the total length of the low-voltage line, the number of power users, and the total power Factor, load rate, annual average line loss rate, nature and proportion of electricity consumption; where t and n are both positive integers;

[0073] Then:

[0074] S11. According to the obtained historical electrical characteristic index data of the station area, construct the influencing factor matrix X=[x of the line loss rate of the station area i,j ],j∈[1,t], where x i,j It is the data of the j-th year of the i-th influencing factor, that is, the data ...

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Abstract

The invention discloses a transformer area line loss calculation method based on correlation analysis and data mining. The transformer area line loss calculation method selects the characteristic index data with greater influence as the input of the deep belief network by comparing and analyzing the influence of the electrical characteristic indexes of different transformer areas on the line lossrate of the transformer areas, carries out training by distinguishing different types of transformer areas by using a clustering algorithm respectively so as to mine the complex incidence relation between the input parameters and the transformer area line loss rate, and finally, generates a transformer area line loss prediction model which is rapid and efficient in calculation and relatively highin result accuracy, so that the transformer area line loss is calculated and analyzed by utilizing the model, and the problems that an existing transformer area line loss calculation method cannot accurately and effectively mine association of transformer area line loss influence factors, the calculation working efficiency and accuracy are low and the like are solved.

Description

technical field [0001] The invention relates to the technical field of power line loss calculation, in particular to a method for calculating line loss in a station area based on correlation analysis and data mining. Background technique [0002] The low-voltage power grid of the power system will have line loss during the power transmission process. The electric energy is transported from the power plant and the power plant, and is transmitted to the customer who uses the power through a certain transmission route. In this process, due to the existence of many transmission links, such as: transmission link, power transformation link, power distribution link, etc., these links cause transmission loss of electric energy to a certain extent, as the planning and design of the power grid system or production A very important indicator of operation management. [0003] In the existing analysis and calculation methods for the line loss of the low-voltage distribution network stat...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06F16/2458G06F16/28G06N3/04
CPCG06Q10/06393G06Q10/04G06Q50/06G06F16/2465G06F16/285G06N3/044
Inventor 刘国伟朱广名朱子坤陈宏辉张延旭邓刘毅陈童杨永王青之曹陈生陈阅
Owner GUANGDONG POWER GRID CO LTD
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