水平多层土壤参数反演的粒子群优化

发布时间：2018-02-21 16:18

本文关键词： 水平多层土壤视在电阻率 Green函数土壤参数反演接地粒子群优化　出处：《高电压技术》2014年07期 　论文类型：期刊论文

【摘要】：高精度的土壤参数反演是保障接地设计和研究准确度的关键。推导了水平多层土壤反演时格林函数的通用表达式,并在基础上得到了视在电阻率与土壤参数、电极埋深、极距的函数关系。水平多层结构土壤视电阻率曲线比较平滑,可以以此作为测量数据能否作水平多层土壤反演的依据。以计算值和测量值之间的均方根误差作为反演的目标函数,引入粒子群算法进行水平多层土壤参数的反演求解。经由标准接地计算软件CDEGS和其他方法的对比算例验证:粒子群反演方法无需计算目标函数关于土壤参数和电极埋深的导数,简单可靠,准确有效;粒子群反演方法可以加入土壤层数的控制且具有较强的跳出局部收敛点能力;粒子群反演方法比MATLAB优化计算工具箱的遗传算法、模拟退火法具有更快的收敛速度且反演精度更高。本文方法适用于任意布置四极法情况下任意参数的水平多层土壤参数反演。
[Abstract]:High precision inversion of soil parameters is the key to ensure the accuracy of grounding design and research. The general expression of Green's function for horizontal multi-layer soil inversion is derived, and the apparent resistivity, soil parameters and electrode depth are obtained. The apparent resistivity curve of horizontal multilayer soil is relatively smooth, The root mean square error between the calculated values and the measured values can be used as the objective function of the inversion. Particle swarm optimization (PSO) algorithm is introduced to solve the horizontal multilayer soil parameters. The comparison between the standard grounding calculation software CDEGS and other methods shows that the PSO inversion method does not need to calculate the derivative of the objective function on soil parameters and electrode buried depth. It is simple, reliable, accurate and effective. Particle swarm optimization method can control the number of soil layers and has a strong ability to jump out of the local convergence point. Particle swarm optimization method is better than the genetic algorithm of MATLAB optimization toolbox. The simulated annealing method has faster convergence rate and higher inversion accuracy. This method is suitable for horizontal multi-layer soil parameter inversion with arbitrary layout quadrupole method.
【作者单位】：武汉大学电气工程学院;国网湖北省电力公司技术培训中心;国网湖北省电力公司电力科学研究院国家电网公司高压电气设备现场试验技术重点实验室;
【基金】：国家重点基础研究发展计划(973计划)(2009CB724500)~~
【分类号】：TM862

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