利用遗传算法优化室内中压变电所全三维空间有源屏蔽设计

F. Garzia, A. Geri
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引用次数: 12

摘要

提出了一种基于遗传算法的室内中压变电所优化设计方法,以减少室内中压变电所外的磁场污染。特别是,将GAs与三维磁场计算代码相结合,尝试通过一个由简单通电回路组成的有源屏蔽来减轻变电站外的磁场。提出的算法已初步应用于研究一个简化的二维构型,以测试代码的效率和可靠性;然后,它已经扩展到实现问题的完全3D解决方案。从结果的分析中可以看出,所提出的方法可以很好地用于减轻位于中压/低压舱室附近的目标体积的磁通密度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active shielding design in full 3D space of indoor MV/LV substations using genetic algorithm optimization
The authors propose an optimization procedure based on genetic algorithms (GAs) able to aid the design of indoor MV/LV substations, reducing the magnetic field pollution outside the cabin. In particular, coupling GAs with a 3D magnetic field calculation code, an attempt was made to mitigate the magnetic field outside the transformer substation by an active shield, consisting of a simple energized loop. The proposed algorithm has been initially applied to study a simplified 2D configuration, in order to test the efficiency and the reliability of the code; then, it has been extended to achieve a fully 3D solution of the problem. From the analysis of the results, it emerges that the proposed approach may be advantageously used in order to mitigate the magnetic flux density in target volumes located near MV/LV cabins.
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