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Transformer optimization design method based on adaptive teaching optimization

A technology for optimizing design and teaching optimization, applied in the direction of constraint-based CAD, design optimization/simulation, instruments, etc., it can solve problems such as slow convergence speed, falling into local optimum, etc., and achieve the effect of improving accuracy and efficiency.

Active Publication Date: 2019-05-03
JIANGXI UNIV OF SCI & TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the traditional teaching optimization algorithm is applied to the optimal design of transformers, it often has the disadvantages of slow convergence speed and easy to fall into local optimum.

Method used

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  • Transformer optimization design method based on adaptive teaching optimization
  • Transformer optimization design method based on adaptive teaching optimization
  • Transformer optimization design method based on adaptive teaching optimization

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Embodiment

[0067] This embodiment is based on the literature (Chen Xuesong, Pan Guang. A model for the optimal design of the core column section of a power transformer [J]. Mathematics Practice and Understanding, 2010, 40(10): 114-117). The transformer optimal design problem is For example, the specific implementation steps of the present invention are as follows:

[0068] Step 1, according to the need to optimize the physical and electrical characteristics of the designed transformer, construct a mathematical model that minimizes the optimization objective in the following form:

[0069] Minimize the optimal design objective function f(X) of the transformer:

[0070]

[0071] And satisfy the optimization design constraints:

[0072]

[0073] Where % is the remainder operator, X=[x 1 x 2 ...x D ] is a vector composed of variables for the optimal design of the transformer; D=28 is the number of variables that need to be optimally designed for the transformer; h k (X), k=1,2,......

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Abstract

The invention discloses a transformer optimal design method based on adaptive teaching-learning-based optimization. According to the transformer optimal design method, a transformer is designed optimally by an adaptive teaching-learning-based optimization algorithm. In the adaptive teaching-learning-based optimization algorithm, a teaching-learning searching operator based on an adaptive inertia weight and a searching step length is designed, and an individual with an optimal adaptive value is fused into the teaching-learning searching operator. On the other hand, in a self-learning searching operator, information of the optimal individual and a random individual is introduced into a Gaussian mutation strategy at the same time in order to coordinate the balance between a convergence rate and the population diversity. Through adoption of the transformer optimal design method, the optimal design accuracy of the transformer can be increased, and the optimal design efficiency of the transformer is increased.

Description

technical field [0001] The invention relates to the field of transformer optimization design, in particular to a transformer optimization design method based on adaptive teaching optimization. Background technique [0002] Transformer is a commonly used basic equipment in power system, and it plays an indispensable role in modern power system. In the optimal design of the power system, the quality of the optimal design of the transformer often determines the final quality of the optimal design of the entire power system. Usually, in the process of optimal design of transformers, the mathematical model of transformer optimal design is first established according to the electrical characteristics and specifications of the transformer, and then the optimization algorithm is used to solve the established optimal design model, so as to determine the selection of each optimal design variable of the transformer. value. [0003] Traditional transformer optimization design methods ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06F30/20G06F2111/04G06N3/126
Inventor 郭肇禄李大海杨火根周才英鄢化彪余法红李康顺
Owner JIANGXI UNIV OF SCI & TECH
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