Complex electrical equipment optimizing method based on space division technology

An optimization method and space segmentation technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve wide application prospects, practical value, and high-precision effects

Active Publication Date: 2015-12-30
SHENYANG POLYTECHNIC UNIV
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  • Abstract
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Problems solved by technology

[0007] In order to overcome the problems existing in the prior art, the present invention provides a complex electrical equipment optimization method based on space segmentation technolo

Method used

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  • Complex electrical equipment optimizing method based on space division technology
  • Complex electrical equipment optimizing method based on space division technology
  • Complex electrical equipment optimizing method based on space division technology

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Embodiment 1

[0070] A standard test problem commonly used in the field of electrical engineering in the world - superconducting magnetic energy storage system is selected to verify the performance of the optimal design method of the present invention. figure 2 It is a schematic diagram of the structure of a superconducting magnetic energy storage system. This problem needs to achieve the following two goals by optimizing the structural parameters of the inner and outer superconducting coils without destroying the properties of the superconducting material:

[0071] (1) The stray magnetic field B on the two test boundary lines stray minimize;

[0072] (2) The energy storage of the system should reach its reference value E 0 ;

[0073] In order to achieve the above goals, the corresponding optimization model is constructed as follows:

[0074] M i n i m i z e f ( ...

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Abstract

The invention relates to a complex electrical equipment optimizing method based on a space division technology, and belongs to the technical field of engineering optimization. The method aims at the difficulty that a large and complex engineering electromagnetic field is long in problem and performance analysis consumed time, and optimizing design is hard to achieve, an overall design space is subdivided into a plurality of sub design spaces according to the change range of each design variable, and a globally optimal solution is found through combination of a particle swarm optimization algorithm and the Kriging modeling technology based on self-adaption sampling. Due to the fact that the sub design spaces are introduced, Kriging response model building and parallel computing of the optimizing process are achieved, time is saved, and high efficiency is achieved. Meanwhile, for the complex problem of multiple design variables, the number of samples is reduced, under limited sampling information, the high precision of the Kriging model is guaranteed, and it can be guaranteed that the globally optimal solution is obtained to the maximum degree.

Description

technical field [0001] The invention relates to a method for optimizing complex electrical equipment based on space segmentation technology, which belongs to the technical field of engineering optimization. Background technique [0002] A large number of optimization design problems exist in the field of engineering, especially in the field of electrical engineering, and the role of optimization theory and technology is becoming more and more important. R&D and design of large-scale and complex engineering electromagnetic field problems promote the development of fast solution methods and intelligent optimization algorithms. In order to seek the global optimal solution, researchers are increasingly favoring evolutionary optimization algorithms. [0003] Particle swarm optimization algorithm is a random search algorithm based on group cooperation developed by simulating the foraging behavior of birds. It completes the search of the entire design space through the movement of...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 任自艳马建刚张殿海夏斌张艳丽
Owner SHENYANG POLYTECHNIC UNIV
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