| 引用本文: | 何智强,文习山,张科,王建武.基于遗传算法的变电站接地网优化[J].电力自动化设备,2008,(6): |
| .Optimization of substation grounding grid design based on genetic algorithm[J].Electric Power Automation Equipment,2008,(6): |
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| 摘要: |
| 提出了基于电磁场和电路相结合的节点电压法,研究了接地网参数的数值计算,通过求取接地网分支导体上的轴向电流和端点电压获取地表任意一点的电位。并在此基础上结合遗传算法对接地网的优化设计进行了研究,通过计算接地网横向和纵向压缩比从而均匀接地网导体散流,使接地网最大接触电势不高于IEEE规程规定值。通过一个实际变电站接地网计算实例表明:优化设计后的接地网确实均匀了地表电位,降低了最大接触电势,采取中心点引流方式效果更佳。 |
| 关键词: 接地网,优化,接触电势,遗传算法 |
| DOI： |
| 分类号:TP18;TM86;TM63 |
| 基金项目: |
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| Optimization of substation grounding grid design based on genetic algorithm |
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HE Zhiqiang WEN Xishan ZHANG Ke WANG Jianwu
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| Abstract: |
| The parameter computation of grounding grid is studied based on the node voltage method,which combines electromagnetic field with circuit to calculate the potential of any surface point through the axial current and end voltage of grounding grid branch conductor.The optimization of grounding grid design is studied with the genetic algorithm.The latitudinal and longitudinal compression ratios of grounding grid are calculated to balance the conductor dispersing currents and to guarantee the maximum touch potential of grounding grid less than the value set by IEEE regulations.The grounding grid calculation of a real substation shows that,the optimized design unifies the surface potential distribution and decreases the maximum touch potential.The central point current dispersion has better effectiveness. |
| Key words: grounding grid,optimization,touch potential,genetic algorithm |
