Lightning arrester grading ring optimization method based on differential evolutionary algorithm and BP neural network

A differential evolution algorithm, BP neural network technology, applied in biological neural network models, instruments, calculations, etc.

Active Publication Date: 2014-12-10
ANNING BUREAU OF ULTRA HIGH VOLTAGE TRANSMISSION
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Problems solved by technology

[0008] At present, for the research on the electromagnetic field inverse problem, multi-fusion finite element method and single intelligent algorithm are used for optimal iterative calculation. Although these methods solve the open domain problem in some electromagnetic field inverse problems well, the iterative calculation time, global convergence and optimal Problems such as optimal solution accuracy are still prominent

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  • Lightning arrester grading ring optimization method based on differential evolutionary algorithm and BP neural network
  • Lightning arrester grading ring optimization method based on differential evolutionary algorithm and BP neural network
  • Lightning arrester grading ring optimization method based on differential evolutionary algorithm and BP neural network

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[0081] 1. Theoretical basis.

[0082] Differential evolution algorithm (differential evolution, DE), as a bionic intelligent algorithm based on group evolution, has the characteristics of memory individual optimal fitness value and population information sharing. optimization solution.

[0083] Suppose the optimization problem to be sought is minf(x), the population size is SP, the maximum number of iterations is MG, the dimension of the feasible solution of the search space is D, and the vector X(t) represents the population that has evolved to the tth generation. First, the initial population is randomly generated in the solvable space in Used to represent the i-th individual solution. Each sub-vector of the initial individual has upper and lower limits x in the respective spaces j,max and x j,min generated randomly between: The basic operations of DE algorithm include mutation operation, crossover operation and selection operation.

[0084]In the DE algorithm, the...

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Abstract

The invention relates to a lightning arrester grading ring optimization method based on a differential evolutionary algorithm and a BP neural network. The method is a hybrid intelligent optimization algorithm based on the differential evolutionary algorithm and the BP neural network. In terms of optimization of a grading ring used for improving distribution of an electric field on the surface of a resistor disc of a lightning arrester, the method includes the steps that optimization calculation is carried out on optimized parameters of the grading ring in combination with the differential evolutionary algorithm on the basis of finite element simulation software first, calculating data generated in the optimization process serve as training sample data of the BP neural network, a multi-dimensional non-linear relation between optimized independent variables and dependent variables is established through neural network fitting and is output through the trained BP neural network in a predication mode, and further optimization calculation is achieved in combination with the differential algorithm. It is indicated that the method is simple, high in execution efficiency, good in robustness and sufficient in data mining and has definite universality for the electromagnetic field inverse problem through comparison of a large number of optimization data.

Description

technical field [0001] The invention belongs to the research field of electromagnetic field inverse problems, and in particular relates to an optimization method of a voltage equalizing ring of a lightning arrester based on a differential evolution algorithm and a BP neural network. Background technique [0002] At present, the methods for studying the electromagnetic field inverse problem mainly include experimental measurement methods and numerical calculation methods based on finite elements. The existing technologies are: [0003] 1. Combined with test measurement and finite element calculation, various factors affecting the potential distribution of arrester are analyzed; [0004] 2. Combined with test measurement and finite element calculation, various factors affecting the potential distribution of the arrester were analyzed; different boundary processing methods were used to solve the open domain problem of the finite element calculation of the arrester, and various...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/02
Inventor 陈图腾张义程德保曹继丰
Owner ANNING BUREAU OF ULTRA HIGH VOLTAGE TRANSMISSION
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