基于GA-BP模型的大型接地网腐蚀速率预测方法  

Prediction method of corrosion rate of large-scale grounding grid based on GA-optimized BP neural network

作　　者：彭威龙 曾松梧 张宝庆 王子浪 乐骁文 梁峰 谢炀 杨鑫[2] PENG Weilong;ZENG Songwu;ZHANG Baoqing;WANG ZiLang;LE Xiaowen;LIANG Feng;XIE Yang;YANG Xin(Wuling Power Co.,Ltd.,Changsha 410076,China;School of Electrical&Information Engineering,Changsha University of Science&Technology,Changsha 410114,China)

机构地区：[1]五凌电力有限公司,湖南长沙410076 [2]长沙理工大学电气与信息工程学院,湖南长沙410114

出　　处：《电力科学与技术学报》2024年第3期264-270,共7页Journal of Electric Power Science And Technology

基　　金：国家自然科学基金(52177015);国家电投集团湖南五凌电力工程有限公司科技项目(320121SC0420220001)。

摘　　要：接地网腐蚀速率是接地网腐蚀状态评估的一个重要方面。人工智能算法模型可以很好地预测接地网腐蚀速率,针对目前预测模型中特征输入量选取不够全面的问题,在对接地网进行电网络理论分析的基础上,确定接地网腐蚀采样点,提出以土壤理化性质和接地网电阻平均增长率为预测模型的特征输入量,采用遗传算法(genetic algorithm,GA)优化反向传播(back propagation,BP)神经网络,建立接地网腐蚀速率预测模型。将所提模型预测结果与未优化的BP神经网络模型和采用果蝇优化算法(fruit fly optimization algorithm,FOA)优化BP神经网络模型对比。在BP神经网络模型预测精度方面,GA算法相比于FOA算法,RMSE和MAPE值分别提高5.88%和1.5%,相比未经优化的BP神经网络模型,RMSE和MAPE值提高22.01%和4.96%。由此可见,提出的方法有更好的适用性。The corrosion rate of grounding grid is an important aspect of corrosion state evaluation.The artificial intelligence algorithm model can predict the corrosion rate of the grounding grid well.In view of the problem that the selection of the characteristic input in the current prediction model is not comprehensive enough,based on the theoretical analysis of the grounding grid,the corrosion sampling point of the grounding grid is determined.The physical and chemical properties of the soil and the average growth rate of the grounding grid resistance are proposed as the characteristic input of the prediction model.The genetic algorithm(GA)is used to optimize the back propagation(BP)neural network,and the prediction model of the corrosion rate of the grounding grid is established.Compared with the unoptimized BP neural network model and the BP neural network model optimized by fruit fly optimization algorithm(FOA),the prediction performance of the proposed model is better and has better applicability.

关 键 词：接地网腐蚀 BP神经网络 腐蚀速率 遗传算法 果蝇优化算法 

分 类 号：TM862[电气工程—高电压与绝缘技术]