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Particle swarm optimization-based core section design method for transformer

A particle swarm optimization, core section technology, applied in the field of transformer processing, can solve problems such as waste and rising costs

Active Publication Date: 2016-08-10
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, simply increasing the diameter of the core and increasing the cross-sectional area of ​​the core will increase the cost and cause a lot of waste

Method used

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  • Particle swarm optimization-based core section design method for transformer
  • Particle swarm optimization-based core section design method for transformer
  • Particle swarm optimization-based core section design method for transformer

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Embodiment Construction

[0065] The design method of transformer core section based on particle swarm optimization includes the following steps:

[0066] like figure 1 As shown, the core series is determined according to the corresponding relationship between the transformer core diameter and the core series, and the relationship between the core series is as follows:

[0067] When D∈(a 1 , a 2 ) can get N=n 1 ;

[0068] When D∈(a 2 , a 3 ) can get N=n 2 ;

[0069] When D∈(a 3 , a 4 ) can get N=n 3 ;

[0070] When D∈(a i , a i+1 ) can get N=n i ;

[0071] In the relational expression of the core series:

[0072] D --- input core diameter;

[0073] a i ---Critical value of core diameter range;

[0074] N --- output core series;

[0075] no i ---Core series value;

[0076] Step 2: Establish the mathematical model of the transformer core cross-section according to the functional relationship between the cross-sectional area of ​​the core and the thickness of the silicon steel sheet ...

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Abstract

The invention discloses a particle swarm optimization-based core section design method for a transformer, and belongs to the field of processing of transformers. The method comprises the following steps: firstly, determining the core stage number according to the corresponding relationship between the core diameter and the core stage number of the transformer, carrying out pretreatment to optimize each stage of stack thickness, and then carrying out optimization solution on each stage of stack thickness by a particle swarm optimization algorithm to obtain the final optimization design scheme. The core section design of the transformer can be relatively reasonable; the utilization rate is improved; and the manufacturing cost and the energy loss of a transformer core is reduced. The particle swarm optimization algorithm with a high convergence speed is adopted; and the corresponding relationship between the core diameter and the core stage number of the transformer is integrated, so that the optimization scheme can be quickly determined by the method.

Description

technical field [0001] The invention belongs to the field of transformer processing. Background technique [0002] Transformer is an important equipment in power system, and its design quality is directly related to the reliability and benefit of power system operation. Although Chinese transformer companies have achieved good results in technology and technological innovation in recent years, their requirements for design and optimization are getting higher and higher. Reducing the loss and cost of transformers is also an important measure to implement my country's energy-saving and emission-reduction policies. [0003] A very important link in the design of power transformers is the design of the core cross-section. The size of the transformer core cross-section determines the magnetic conduction capacity and the amount of magnetic flux loss of the transformer. According to the electromagnetic theory, it can be known that keeping the number of coil turns constant and inc...

Claims

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Application Information

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IPC IPC(8): H01F41/02G06F17/50G06N3/00
CPCG06F30/17G06N3/006H01F41/02
Inventor 柳强丁宇毛莉李文茜左曦
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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