Multi-objective optimum design method of gas insulating bush based on evolutionary strategy

A multi-objective optimization, gas-insulated technology, used in computing, special data processing applications, instruments, etc.

Active Publication Date: 2014-10-22
XI AN JIAOTONG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-objective optimization design method for gas-insulated bushings based on an evolutionary strategy to solve the problem that multiple...

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  • Multi-objective optimum design method of gas insulating bush based on evolutionary strategy
  • Multi-objective optimum design method of gas insulating bush based on evolutionary strategy
  • Multi-objective optimum design method of gas insulating bush based on evolutionary strategy

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Embodiment Construction

[0084] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0085] figure 1 Schematic flow chart of the multi-objective optimization evaluation function modeling method for gas-insulated bushing; figure 2 It is a structural diagram of a gas-insulated bushing, in which 1 is a pressure equalizing ring, 2 is an upper flange, 3 is an umbrella skirt, 4 is an intermediate potential shield, 5 is a ground potential shield, 6 is a lower flange, and 7 is a support Insulator, 8 is the central conductor.

[0086] Such as figure 1 As shown, the flow chart of the multi-objective optimization evaluation function modeling method for the insulation structure of the gas insulating bushing includes:

[0087] Step 1): Determine the decision variables and constraints. according to figure 2 The structure of the gas insulating bushing, determine the multi-objective optimization design decision variable of the gas insu...

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Abstract

The invention discloses a multi-objective optimum design method of a gas insulating bush based on an evolutionary strategy. The method comprises the following steps of determining the decision variable and constraint condition of multi-objective optimization design of the gas insulating bush, and building an insulating structure to design a multi-objective optimization function, building evaluation functions of an insulating optimum structural design of the gas insulating bush; initializing evolutionary parental groups of the evaluation functions; generating offspring groups for the parental groups by recombination and mutation; invoking a finite element algorithm to calculate and compare the fitness of the evaluation functions of the offspring groups, and selecting to generate new parental groups; repeatedly iterating to generate new parental groups and offspring groups until the prescribed iteration times can be achieved; and calculating a convergence criterion to determine whether the iteration is continued, and outputting results if the iteration can be stopped. According to the method provided by the invention, a global optimal design scheme can be determined for the gas insulating bush structure, the optimal design level of the gas insulating bush structure can be greatly improved, and wide practicality can be realized.

Description

【Technical field】 [0001] The invention belongs to the technical field of electric equipment insulation structure design, and in particular relates to a multi-objective optimization design method for a gas insulation bushing based on an evolutionary strategy. 【Background technique】 [0002] Gas-insulated bushing is an important component of gas-insulated switchgear (GIS). Whether its insulation structure design is reasonable and reliable has an important impact on the safe and reliable operation of the power grid. At present, the design of gas-insulated bushings is mainly based on computer numerical calculation methods to optimize the distribution of a certain local electric field in the bushing. This often has limitations and cannot optimize the overall insulation performance of the bushing. [0003] In fact, changes in the local structure of the gas-insulated bushing have an impact on the overall potential and electric field distribution of the bushing. When designing the ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 刘鹏张宏亮宁鑫冯骅彭宗仁
Owner XI AN JIAOTONG UNIV
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