| 引用本文: | 雷将锋,彭敏放,沈美娥,杨?滔.基于云遗传算法的接地网优化设计[J].电力自动化设备,2012,32(7): |
| LEI Jiangfeng,PENG Minfang,SHEN Meie,YANG Tao.Optimal design of grounding grid based on cloud genetic algorithm[J].Electric Power Automation Equipment,2012,32(7): |
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| 摘要: |
| 在双层土壤结构和不等电位模型的基础上，研究了按指数规律布置接地导体的可行性，建立了最大接触电压值达到最小的目标函数，并利用云遗传算法求取最优解。该方法采用自适应算法和云模型建立交叉和变异概率，得到地网横向和纵向最佳压缩比，从而获得接地网拓扑结构。变电站接地网计算实例表明，该方法具有快速寻优能力，优化布置后的接地网消除了等间距布置出现的边缘效应和邻近效应，能有效地均匀地表电位分布，降低最大接触电位差。 |
| 关键词: 云模型 云遗传算法 接地 优化 设计 不等间距 接触电位差 遗传算法 |
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| 基金项目:国家自然科学基金资助项目（60673084，60973032）；湖南省自然科学基金重点资助项目（10JJ2045） |
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| Optimal design of grounding grid based on cloud genetic algorithm |
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LEI Jiangfeng1, PENG Minfang1, SHEN Meie2, YANG Tao1
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1.College of Electrical Information Engineering，Hunan University，Changsha 410082，China;2.Beijing University of Information Science and Technology，Beijing 100101，China
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| Abstract: |
| Based on the inequipotential model and two-layer soil model，the feasibility of exponential-law conduct arrangement is studied，the target function minimizing the maximum touch voltage is built and the cloud genetic algorithm is applied to obtain the solution. The adaptive algorithm and cloud model are used to calculate the cross and mutation probability，the best horizontal and vertical compression ratios are then calculated and the topology of grounding grid is obtained. The grounding grid calculation for a real substation shows that，the global optimum is quickly found，the edge effect and proximity effect existing in the equal spacing grounding grid are avoided，the ground surface potential is equally distributed and the maximum touch voltage is remarkably decreased. |
| Key words: cloud model cloud genetic algorithm electric grounding optimization design unequal spacing touch voltage genetic algorithms |
