| 混合遗传算法在接地电阻测量中的应用 |
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| 引用本文： | 行鸿彦,何贵先,徐伟,张璇.混合遗传算法在接地电阻测量中的应用[J].电子测量与仪器学报,2016,30(9):1389-1396. |
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| 作者姓名： | 行鸿彦 何贵先 徐伟 张璇 |
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| 作者单位： | 南京信息工程大学 气象灾害预报预警与评估协同创新中心 南京 210044; 南京信息工程大学 中国气象局气溶胶与云降水重点开发实验室 南京 210044 |
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| 基金项目： | 国家自然科学基金(61671248)，江苏省产学研联合创新资金计划(BY2013007-02)，江苏省高校自然科学研究重大项目(15KJA460008)，江苏省“信息与通信工程”优势学科资助项目 |
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| 摘 要： | 针对双钳法测量接地电阻时,接地极数量和接地极腐蚀对测量结果造成较大误差的问题,提出了一种基于混合遗传算法(HGA)的接地电阻测量方法。在接地电阻等效模型基础上构建接地方程组,利用遗传算法和梯度下降法优化目标函数,根据测量数据R_m求解接地电阻等效模型,实现对接地电阻的测量。仿真结果表明:所提方法得到的接地电阻最大误差为1.76%,在接地极腐蚀,接地回路不可靠的情况下能够提高接地极电阻的测量精度,基本解决双钳法测量接地电阻受接地极数量影响的问题。
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| 关 键 词： | 接地电阻 双钳法 接地方程组 不可靠回路 混合遗传算法 |
Application of hybrid genetic algorithm in ground resistance measurement |
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| Xing Hongyan,He Guixian,Xu Wei and Zhang Xuan.Application of hybrid genetic algorithm in ground resistance measurement[J].Journal of Electronic Measurement and Instrument,2016,30(9):1389-1396. |
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| Authors: | Xing Hongyan He Guixian Xu Wei and Zhang Xuan |
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| Affiliation: | 1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for Aerosol Cloud Precipitation of China Meteorological Administration, Nanjing 210044, China,1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for Aerosol Cloud Precipitation of China Meteorological Administration, Nanjing 210044, China,1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for Aerosol Cloud Precipitation of China Meteorological Administration, Nanjing 210044, China and 1. Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China; 2. Nanjing University of Information Science & Technology, Key Laboratory for Aerosol Cloud Precipitation of China Meteorological Administration, Nanjing 210044, China |
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| Abstract: | Aiming at the faults of the existing measurements that large errors in the measurement results will be caused by the number and the corrosion of the ground electrodes when the resistance is measured with double clam method,a ground resistance measuring method based on hybrid genetic algorithm (HGA)is proposed in this paper.The basic principle is establishing the ground equations based on the equivalent model of ground resistance. According to the actual measuring ground resistance data Rm ,the technology uses the HGA to solve the assessed parameters of the real values of the ground resistance.The simulation results show that the maximum ground resistance error measured by HGA is 1 .76%,and it can improve the accuracy of each electrodes resistance effectively and ensure the accuracy of on-line monitoring when the loop condition is not reliable or the corrosion of the ground electrodes,and at the same time overcome the affect of the number of electrodes in traditional method. |
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| Keywords: | ground resistance double clam method ground equations unreliable loop hybrid genetic algorithm |
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