基于改进麻雀搜索算法的变电构架优化方法

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Abstract In order to solve the optimization problem in the design of substation structures, the improved sparrow search algorithm was used for its optimization design. The Circle chaotic map was introduced into the basic sparrow search algorithm to improve the diversity of the population and the global search ability of the algorithm. The firefly algorithm was introduced to update the sparrow search algorithm to make it easy to jump out of the local optimum. A mathematical model of size optimization was established, and the penalty function method was utilized to deal with constraints. The improved algorithm was first used to analyze typical truss examples to prove its stability and effectiveness, and then applied to the optimization design of substation frames. The results show that the improved sparrow search algorithm can effectively improve the optimization effect of substation structures.

Key words： substation structure improved sparrow search algorithm discrete variable size optimization

Received: 15 June 2023 Published: 15 April 2024

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	Articles by authors
	ZHANG Yingchun1
	2
	JIANG Lan1
	2
	TANG Bo1
	2
	CHEN Xi3
	HU Hui4

Cite this article:

ZHANG Yingchun1,2,JIANG Lan1, et al. Optimization method of substation structure based on improved sparrow search algorithm[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(7): 94-101.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I7/94

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