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Power distribution network planning effect evaluator based on stacked auto-encoders

A technology for stacking self-encoders and distribution network planning, applied in the fields of instruments, electrical digital data processing, biological neural network models, etc. Obtain and solve the effect of supporting a large amount of data

Pending Publication Date: 2022-05-06
ECONOMIC TECH RES INST OF STATE GRID HENAN ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide a method for quickly obtaining the results of planning results and obtaining the optimal planning scheme, effectively solving the problem that the traditional model calculation method supports a large amount of data, is difficult to apply in practice, and leads to planning effectiveness indicators Distribution network planning effectiveness evaluator based on stacked autoencoders, which mainly relies on empirical calculations and cannot meet the needs of planning decisions

Method used

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  • Power distribution network planning effect evaluator based on stacked auto-encoders
  • Power distribution network planning effect evaluator based on stacked auto-encoders
  • Power distribution network planning effect evaluator based on stacked auto-encoders

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Experimental program
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Effect test

Embodiment 1

[0030] Such as Figure 1-4 As shown, it includes the following steps:

[0031] Step 1: sort out the commonly used distribution network planning effectiveness indicators, and distinguish them according to the two dimensions of power supply reliability and investment benefit;

[0032] Step 2: Construct the distribution network planning effectiveness index system based on the correlation degree, and select the index with the strongest correlation degree as the distribution network planning effectiveness index by calculating the correlation degree between the distribution network planning index and the reliability of power supply and economic benefits;

[0033] Step 3: Generate a large number of planning scheme samples in MATLAB simulation software, and calculate the results of distribution network planning under given conditions;

[0034] Step 4: Use a large number of sample data in step 3 to train and generate a distribution network planning effectiveness evaluator to achieve r...

Embodiment 2

[0037] Such as Figure 1-4 As shown, the distribution network planning effectiveness evaluator based on stacked autoencoders, which includes the following steps:

[0038] Step 1: sort out the commonly used distribution network planning effectiveness indicators, and distinguish them according to the two dimensions of power supply reliability and investment benefit;

[0039] Step 2: Construct the distribution network planning effectiveness index system based on the correlation degree, and select the index with the strongest correlation degree as the distribution network planning effectiveness index by calculating the correlation degree between the distribution network planning index and the reliability of power supply and economic benefits;

[0040] Step 3: Generate a large number of planning scheme samples in MATLAB simulation software, and calculate the results of distribution network planning under given conditions;

[0041] Step 4: Use a large number of sample data in step ...

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Abstract

The invention relates to a stacked auto-encoder-based power distribution network planning effect evaluator, which comprises the following steps of: 1, sorting common power distribution network planning effect indexes, and distinguishing according to two dimensions of power supply reliability and investment benefit; 2, constructing a power distribution network planning effect index system based on correlation degree, and selecting an index with the strongest correlation degree as a power distribution network planning effect index by calculating the correlation degree between a power distribution network planning index and power supply reliability and economic benefits; 3, generating a large number of planning scheme samples in MATLAB simulation software, and calculating a power distribution network planning effect result under a given condition; 4, training and generating a power distribution network planning effect evaluator to realize rapid evaluation; the method has the advantages that the planning effect result is quickly obtained, the optimal planning scheme is obtained, and the problems that a traditional model calculation method is large in supporting data volume and difficult to apply in practice, so that the planning effect index mainly depends on experience calculation, and the planning decision requirement cannot be met are effectively solved.

Description

technical field [0001] The invention belongs to the technical field of distribution network planning, and in particular relates to a distribution network planning effectiveness evaluator based on a stacked autoencoder. Background technique [0002] As power companies gradually shift their construction centers to the construction of distribution networks, distribution network planning has become a key link in the safe, reliable, and economical operation of power grids. The analysis of distribution network planning effects is a core part of distribution system evaluation. A reasonable and practical distribution network planning effectiveness evaluation index system can become an important basis for the feasibility of planning schemes, and is of great significance to the authenticity and data validity of distribution network planning effectiveness analysis. Urban medium-voltage distribution network Due to the characteristics of complex structure and large amount of basic data, ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F30/27G06N3/08G06F113/04
CPCG06Q10/06393G06Q10/06315G06Q10/0637G06Q50/06G06F30/27G06N3/08G06F2113/04
Inventor 马杰李秋燕王利利郭勇刘友波许长清毛玉宾丁岩李科全少理杨卓郭新志于昊正皇甫宵文
Owner ECONOMIC TECH RES INST OF STATE GRID HENAN ELECTRIC POWER
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