| 基于遗传粒子群算法的接地网优化设计研究 |
投稿时间：2018-12-23 修订日期：2018-12-23  点此下载全文 |
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| 中文摘要:针对接地网表面电位分布不均匀及人身和设备安全无法得到可靠保障的现状,采用遗传粒子群融合算法对接地网进行优化设计。基于场路结合法的原理,本文建立了接地网的不等电位分析数学模型,目标函数为地面电位分布最大电位差最小,采用本文遗传粒子群方法对接地网导体放置位置进行优化,通过计算实例中与其它方法的对比分析,表明本文方法具有更加优良的寻优搜索能力,能获得更小的地面电位分布最大电位差。本文方法可为接地网的优化设计提供有效的借鉴和指导。 |
| 中文关键词:接地网 优化设计 遗传算法 粒子群算法 不等电位 |
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| Research on Optimal Design of Grounding Network Based on GeneticParticle Swarm Optimization |
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| Abstract:In view of the current situation of uneven potential distribution on the surface of grounding network and the fact that personal and equipment safety cannot be guaranteed reliably, genetic particle swarm optimization (gpso) algorithm was used to optimize the ground network design. Based on the principle of field-path combination, the mathematical model of unequal potential analysis of grounding network is established in this paper, the objective function is the maximum potential distribution on the ground and the minimum potential difference, the genetic particle swarm optimization method is used to optimize the placement position of ground network conductor, by compared with other methods on the calculation example, it shows that this method has better searching ability, and the maximum potential difference of ground potential distribution can be obtained. This method can provide effective reference and guidance for the optimal design of grounding network. |
| keywords:grounding grid optimal design genetic algorithm particle swarm optimization unequal potential |
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